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- If the order contains at least $100 of merchandise, use the coupon SLEIGH to receive a coupon discount equal to the cost of Overnight shipping to the 48 continental U.S. States. Products that are eligible for delivery by 12/24/14 carry a message on the product page that states the item can be delivered by 12/24/14 and defines the shipping method that must be used.
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Your collection of Charlotte gear can always use a little variety. After all, your closet is so full of blue and orange that you can barely tell one team tee from the next. For Bobcats-spirited style that's anything but generic, equip yourself with these Jacquard knit boots. Featuring allover woven pink and black graphics, a soft fleece lining, small embroidered team logos on each boot and a bungee drawcord at the top to adjust the fit, these vibrant boots will definitely diversify your closet. With cute, cozy boots like these, you'll be the sweetest Bobcats fan in town!
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Special event items are produced by manufacturers only after the outcome of a game or event. These are advanced sale items and will ship immediately after they are received in our warehouse.
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By developing and testing motion analysis algorithms in MATLAB® and generating C code with MATLAB Coder™ dorsaVi engineers cut development time by almost half compared to their previous approach, which involved hand-coding in C#.
|Dec 2014
Slovak University of Technology Students Win Freescale Cup EMEA Championship Using Model-Based Design
Model-Based Design enabled students with no previous design experience to model their car, tune key performance parameters, evaluate control ideas, and develop an electronic differential to keep the car on the track during high-speed turns.
|Nov 2014
Using an oncology model as an example, this article describes a workflow for developing and deploying an application for simulating a mechanistic PK/PD model built using SimBiology.
|Nov 2014
This paper summarizes the criticisms of the rainbow color map and presents an annotated bibliography of sources.
|Oct 2014
This article guides you through the process of selecting the best deployment approach for your MATLAB application. It covers three strategies: using batch processing, generating C code with MATLAB Coder, and deploying with MATLAB Compiler.
|Oct 2014
This article outlines best practices for preparing MATLAB® code for conversion, converting to fixed point, and optimizing your algorithm for efficiency and performance.
|Sep 2014
MIT engineers developed control software that enables a humanoid robot to autonomously drive a vehicle, clear debris, and perform other tasks in hazardous areas.
|Sep 2014
This article describes best practices for creating, implementing, validating, and promoting new modeling guidelines.
|Sep 2014
In this paper, a model represents a battery pack and features cell creation, placement, and connection using automation scripts. The paper presents an assessment of model partitioning schemes for real-time execution on multicore targets.
|Sep 2014
Nano Retina developed a system model in Simulink® incorporating the eye's optics and movements, environmental factors, and analog and digital subsystems, and simulated the model under multiple scenarios to gain insights into the system behavior.
|Sep 2014
A maze-solving examples shows how to use the watershed transform, a powerful tool for solving segmentation problems in densely packed objects and other difficult images, such as a container full of objects.
|Aug 2014
Engineers use MATLAB and Simulink to analyze image and signal data, design controls and signal processing algorithms, implement their designs in software after thorough verification and validation, and generate reports for standards compliance.
|Aug 2014
Support packages for low-cost hardware platforms from Arduino to Zynq let you stream sensor data into MATLAB and generate code to run Simulink models on real hardware.
|Aug 2014
Using MATLAB and a variety of hardware platforms, students can complete hands-on projects in controls, mechatronics, robotics, signal processing and circuit design.
|Aug 2014
Using a matrix from the MATLAB Gallery collection as an example, this article discusses three variants of the QR algorithm available in MATLAB.
|Aug 2014
This article describes how to modify an algorithm to run on a GPU, and then solve a geometric problem involving millions of lines and shapes in under a second.
|Jul 2014
This article illustrates a top-down methodology for the design and FPGA implementation of a DPD, from an algorithmic description DPD in MATLAB to design elaboration in Simulink and HDL code generation for FIL testing.
|Jul 2014
The Velocity Mapping Toolbox (VMT), built in MATLAB, enables the U.S. Geological Survey to rapidly process huge amounts of raw water-flow data.
|Jun 2014
Using hedge fund data as an example, this article demonstrates how MATLAB® can be used to automate the process of acquiring and analyzing fraud detection data.
|Jun 2014
Engineers at Ruukki Metals built and deployed a web application with MATLAB that enables operators to select and apply the proper settings throughout the steel manufacturing process.
|May 2014
A MATLAB app enables researchers to analyze an entire region of the brain in minutes rather than days.
|Apr 2014
Drexel nuclear engineering students use MATLAB to complete capstone design projects, including an unmanned aerial vehicle (UAV) for radiation detection and a nuclear reactor simulator.
|Mar 2014
Developing Video Denoising Algorithms with MATLAB and Simulink for Implementation on BeagleBoard Hardware
Implementing Video Denoising Algorithms on BeagleBoard
|Mar 2014
Using Trajectory Evaluator and Simulator software built with MATLAB, ITER researchers define paths for 100-ton vehicles carrying activated components through a building with just 30 centimeters of clearance between the vehicle and the walls.
|Feb 2014
Virginia Tech biological engineering students use MATLAB to analyze and understand progressively more complex bioprocesses.
|Feb 2014
Model-Based Design for Altera FPGAs Using Simulink, HDL Coder, and Altera DSP Builder Advanced Blockset
This paper describes how HDL Coder can be used with Altera DSP Builder in an integrated FPGA workflow.
|Feb 2014
This article describes a workflow for building a component model from requirements, simulating the component model, and then connecting it to a system-level model for further simulation and testing.
|Jan 2014
As their fourth-year undergraduate capstone project, Penn students used MATLAB and Simulink to design and build Titan Arm, a controllable, wireless exoskeleton capable of lifting more than 40 pounds.
|Jan 2014
Creating a Desktop Electric Motor Dynamometer System with TI's C2000 Support Package and Model-Based Design
A MATLAB and Simulink workflow for developing a desktop or lab dynamometer capable of running at lower DC bus voltages.
|Dec 2013
Georgia Institute of Technology students learn control theory from MOOC videos, and spend classroom time developing controllers in MATLAB® and working with Khepera III robots.
|Dec 2013
Using a wind turbine blade as an example, this article describes a semi-automated way to create complex 3D mechanical structures using MATLAB and the General Extrusion shape in SimMechanics.
|Nov 2013
Model-Based Design with MATLAB and Simulink enables Hitachi to improve communication between teams, reduce development time, and reduce risk by evaluating system performance early in the design process.
|Nov 2013
A fully automated MCL modeled in Simulink and Simscape enables researchers to accurately simulate cardiac conditions and dynamics to evaluate the performance of cardiac assist devices.
|Nov 2013
Vanderbilt instructors span the divide between engineering and computer science with MATLAB and an Apple® eBook, combining the principles, vocabulary, and methods of computer science with engineering problem-solving in an interactive format.
|Nov 2013
This paper describes the start of the quadrotor design and development process using Model-Based Design with MATLAB and Simulink in the transition from CAD data to a full dynamic model.
|Oct 2013
Using industry-standard tools such as MATLAB and Simulink, and low-cost hardware such as Arduino, Beagleboard, LEGO MINDSTORMS, and Raspberry Pi, students tackle real engineering problems and acquire the skills they will need for careers in industry.
|Oct 2013
Engineers and scientists connect MATLAB and Simulink to FPGAs, microprocessors, cameras, instruments, and other hardware to design, test, and verify systems that combine hardware and software components.
|Oct 2013
From 1961 to the present, the Gatlinburg and Householder symposia on numerical computing have played an important role in the history and development of MATLAB.
|Oct 2013
This article describes how engineers in the Baker Hughes' Dynamics and Telemetry group used automatic code generation to reduce the number of code defects and lessened the time required to fix bugs.
|Sep 2013
Rapid prototyping and automatic VHDL code generation enable BBN engineers to develop, implement, and improve data-encryption schemes much faster than would be possible with traditional methods.
|Sep 2013
This article describes a workflow for creating a permanent magnet synchronous machine (PMSM) plant model using MATLAB® and Simulink® and commonly available lab equipment.
|Sep 2013
Adding Fun to First-Year Computer Programming Classes with MATLAB, Arduino Microcontrollers, and Model Trains
First-year students at Ohio State University demonstrate the engineering concepts and computer programming basics they have learned by developing a controller for an N scale train set using MATLAB and an Arduino microcontroller.
|Sep 2013
SKA South Africa engineers are developing a DSP system capable of processing 5 terabits of data a second from the 64 radio antennas in the MeerKAT array.
|Aug 2013
This article uses a fever-detection example to illustrate an intensity-based automatic image registration workflow based on imregister() and related capabilities in Image Processing Toolbox™.
|Aug 2013
A process for real options valuation of an iron ore mine, including developing price and interest-rate models based on historical data, and producing distributions for a range of economic outcomes based on calculations of net present value (NPV).
|Jul 2013
University of Pennsylvania Develops Electrophysiological Heart Model for Real-Time Closed-Loop Testing of Pacemakers
UPenn has developed a first-of-its-kind electrophysiological model of the heart that enables real-time closed-loop testing and early verification of pacemakers by simulating a variety of heart conditions.
|Jun 2013
UC Berkeley students demonstrate their creativity and ingenuity by tackling an open-ended design problem using MATLAB.
|Jun 2013
Texas Instruments engineers designed an ADC that uses noise shaping to reduce chip area and power consumption.
|May 2013
Simplified Extended Kalman Filter Model for SOC Estimation of Commercial Power-Oriented LFP Lithium Battery Cells
A novel combination of the extended Kalman filter (EKF) algorithm, a two-RC-block equivalent circuit, and the coulomb counting method facilitates runtime SOC evaluation for commercial high-power LFP cells.
|Apr 2013
Battery Model Parameter Estimation Using a Layered Technique: An Example Using a Lithium Iron Phosphate Cell
Use a layered approach to break the parameter estimation problem into a subset of data and parameter values so that the optimizer can focus on a specific problem.
|Apr 2013
MATLAB supports CUDA kernel development by providing a language and development environment for quickly evaluating kernels, analyzing and visualizing kernel results, and writing test harnesses to validate kernel results.
|Apr 2013
Using MATLAB and Signal Processing Toolbox, Philips Research engineers develop audio beamforming technology that varies the TV sound levels for two people in the same room.
|Apr 2013
TrueAllele technology uses MATLAB, Signal Processing Toolbox, and Statistics Toolbox to mathematically separate mixed DNA data into individual contributors and their respective genotypes.
|Apr 2013
Three project-based learning activities demonstrate how MATLAB and Simulink make it easy for students to implement their algorithms on low-cost hardware platforms.
|Mar 2013
With a custom rapid control prototyping platform and Model-Based Design, Hella engineers produce a real-time prototype incorporating 80% of the final product's functionality in a few months.
|Mar 2013
Topics covered include assessing code performance, adopting efficient serial programming practices, working with System objects, performing parallel computing, and generating C code.
|Mar 2013
A single system-level environment enabled geographically separated teams to develop different parts of the mixed-signal system separately and then demonstrate that they worked together.
|Mar 2013
Using system-level design, the Semiconductor Technology Academic Research Center (STARC) halved design time and eliminated costly respins.
|Mar 2013
This paper compares Model-Based Design approaches for developing logic-intensive algorithms in a high-integrity environment.
|Feb 2013
This paper examines common Stateflow design constructs. It explores the performance of architectural decisions such as state actions versus transition actions, events versus transition conditions, and MATLAB® versus C as the action language.
|Feb 2013
Identify a plant model from input-output data, use the identified model to design a controller, and implement the controller on an embedded microprocessor.
|Jan 2013
Using Simulink, BPG engineers can simulate aspects of the Uno dicycle that would be too costly, dangerous, or time-consuming to experiment with on the actual hardware.
|Jan 2013
A simple interface lets you download a custom waveform to an instrument without programming with an IVI-driver or using SCPI commands.
|Jan 2013
Model-Based Software Design, an elective course for fifth-year students, prepares future engineers by combining lectures and practical exercises with seminars conducted by local industry experts.
|Dec 2012
A simple guide to writing apps from scratch using object-oriented programming.
|Dec 2012
Using Simulink models and physical structures, Lehigh University researchers test reactions to seismic activity in ships' hulls, bridge decks, shear walls, and four-story buildings.
|Dec 2012
This work employs a generative approach to optimization, where computational simulation of the problem space is combined with a computational optimization approach in the solution space.
|Dec 2012
Simulations in MATLAB and Simulink enable Johnson Matthey engineers to understand the complex interactions taking place within a catalyst, see which parameters most affect the output, and make design trade-offs based on the results.
|Nov 2012
With MATLAB integrated into the physics curriculum, Siena College students develop practical skills—starting in their first year—that they will use throughout their studies and beyond.
|Nov 2012
Control instruments, analyze and display data, and produce written reports—all in a single application.
|Oct 2012
Three techniques for finding a control strategy for optimal operation of a hydroelectric dam: using a nonlinear optimization algorithm, a nonlinear optimization algorithm with derivative functions, and quadratic programming.
|Oct 2012
You can greatly reduce the amount of code needed to handle input arguments by using the inputParser object.
|Oct 2012
Cleve Moler presents MATLAB code for simulating basic strategy, and explains why simulating blackjack play in MATLAB is both an instructive programming exercise and a useful parallel computing benchmark.
|Oct 2012
Examples of how financial professionals from more than 2300 organizations worldwide use MATLAB to develop and implement financial models, analyze substantial volumes of data, and operate under tightening regulation.
|Oct 2012
Overview of resources for project-based learning, including books, a webinar, and Simulink support for interfacing with low-cost hardware.
|Oct 2012
Using Image Processing and Statistical Analysis to Quantify Cell Scattering for Cancer Drug Research
MATLAB image processing and statistical analyses give researchers an objective computational method for measuring the ability of drugs in development to inhibit cancer metastasis.
|Sep 2012
A MATLAB based simulator provides a low-cost way to bring the appeal and excitement of robotics to a large class while improving student comprehension of core concepts such as approximation and errors.
|Jul 2012
Tips and techniques to make your model run faster.
|Jun 2012
This paper describes the interoperability of tools that support Model-Based Design. It focuses on mechanisms defined by AUTOSAR, and outlines how to verify and validate designs at different stages in the workflow.
|May 2012
NASA Langley's MATLAB based control system fully automates the welding process and produces complex components from a 3D CAD representation.
|May 2012
A MATLAB based model lets economists quickly update GDP forecasts and deliver the results almost in real time
|May 2012
Developing High-Integrity Aircraft Approach Systems in Accordance with DO-178B Using Model-Based Design
Septentrio streamlines the DO-178B certification process with MATLAB and Simulink.
|May 2012
Recent enhancements to MATLAB® and Image Processing Toolbox™ dramatically increase image processing speed
|Apr 2012
TNO's shockwave-damping software helps ensure smooth traffic flow after sudden braking incidents.
|Apr 2012
MATLAB algorithms automate image interpolation (inpainting) using PDEs.
|Feb 2012
University of Adelaide Undergraduates Design, Build, and Control an Electric Diwheel Using Model-Based Design
A challenging controls project gives many students the skills of seasoned engineers well before they graduate.
|Feb 2012
Using MATLAB, Virtual Reality, and a Treadmill to Investigate how Humans Use Visual Input to Control Their Gait
MATLAB and Simulink models help Simon Fraser University researchers run and control experiments to determine how sensory input affects walking speed.
|Feb 2012
This paper presents an integrated approach for the development of complex aerospace systems. To better illustrate the scope of this technique, a case study for a complex aerospace model based on the HL-20 personnel launch system is provided.
|Jan 2012
Lab sessions and an interactive tutorial enable students to work hands-on with MATLAB soon after learning a new numerical method.
|Jan 2012
By using Model-Based Design with Simulink, the team created a novel pump design and reduced development time by 50%.
|Jan 2012
Model-Based Design enables Hugo Petersen to cut costs and reduce development time by a factor of 5 to 10.
|Jan 2012
CommScope's MATLAB based DPD technology enables wireless base stations to operate efficiently while minimizing spurious amplifier emissions.
|Jan 2012
Simulink behavioral simulations help Epoch Microelectronics engineers verify that their ADPLL designs meet specifications before committing to hardware.
|Dec 2011
Developing a Universal Receiver Test Platform for Satellite Digital Radio and Other Broadcast Standards
Using MATLAB, it took Averna less time to develop the production version of their design than it would have taken simply to debug the version written in C.
|Dec 2011
Developed in MATLAB, Sonarscope software lets researchers process, analyze, and visualize terabytes of raw MBES data.
|Nov 2011
Optimizing Performance and Fuel Economy of a Dual-Clutch Transmission Powertrain with Model-Based Design
With accurate vehicle simulation models enable engineers to quantitatively determine the optimal tradeoff between the conflicting demands of vehicle performance and fuel economy.
|Nov 2011
Addressing the growing bandwidth crunch with dynamic spectrum management technologies based on MATLAB and Simulink.
|Nov 2011
This blog post introduces the basics of using MATLAB Coder, and then presents a complete, iterative workflow to guide you through the task of code generation incrementally.
|Oct 2011
MATLAB implementations of the three algorithms most widely used to compute hundreds or trillions of digits of π.
|Oct 2011
Recent MATLAB based textbooks and curriculum materials.
|Oct 2011
Amimon's Wireless Home Digital Interface technology enables 1080p frames to be sent 60 times per second through walls to a device 100 feet away.
|Oct 2011
Use simulation to design and verify complex control strategies in a model—then reuse the model to automatically generate IEC 61131 structured text to program the PLC for deployment.
|Oct 2011
Balance speed and accuracy by using Simscape to configure your model for real- time simulation.
|Oct 2011
MATLAB and an innovative "inverted classroom" model help liberal arts students hone their critical thinking and problem-solving skills.
|Oct 2011
Run your MATLAB code on a GPU by making a few simple changes to the code.
|Sep 2011
This article discusses the recommended three-step workflow for converting MATLAB algorithms automatically into C code. Generating C code from MATLAB results in less time spent programming in a lower level language and in faster design iterations.
|Aug 2011
Anonymous functions let you create simple functions as variables without having to store the functions in a file.
|Jul 2011
Why do tic and toc provide the highest accuracy and most predictable behavior?
|May 2011
UC Berkeley's Center for Astronomy Signal Processing and Electronics Research developed a Simulink based component library for building and deploying sophisticated instruments at a fraction of the cost of custom-hardware instruments.
|May 2011
At the University of Pittsburgh and Washington State University, system dynamics and physiology are combined in a single course.
|Mar 2011
University of Delaware researchers to identify the best combination of performance and efficiency.
|Mar 2011
Using an adaptive median filter as an example, this article shows how to make a MATLAB algorithm suitable for hardware implementation.
|Mar 2011
By simulating IC designs before fabrication and automating tests, Fujitsu achieved significant time and cost savings and improved test quality, speed, and reproducibility.
|Mar 2011
This paper shows the purpose, technology integration, and application of Cummins Vehicle Mission Simulation (VMS) software. Case studies show how VMS helps customers understand vehicle performance, improve fuel economy, and cut emissions.
|Dec 2010
This paper recommends best practices for creating an infrastructure and deploying large-scale models for embedded applications using Model-Based Design.
|Dec 2010
This paper discusses report generation within Model-Based Design, focusing on automation, document formats, templates, and interactivity.
|Nov 2010
Cleve Moler demonstrates the MATLAB matrix computation underlying compressed sensing.
|Oct 2010
Mercedes engineers use a custom calibration tool to extract the highest possible performance from AMG powertrains.
|Oct 2010
Using WMS to simplify the process of finding geospatial raster data and Mapping Toolbox to analyze the data and create map displays.
|Oct 2010
A MATLAB based model helps analysts project the future state of the New Zealand economy.
|Oct 2010
Nujira's envelope-tracking technology doubles a PA's efficiency from 30% to 60%.
|Oct 2010
This freshman seminar gives students practical experience in geological and geophysical research using MATLAB.
|Oct 2010
The Simulink.findVars command makes it easy to find out whether a variable is being used in a model, and where.
|Oct 2010
This article describes how to solve large linear algebra problems by spreading them across multiple machines using distributed arrays and the single program multiple data (SPMD) language construct, available in Parallel Computing Toolbox.
|Sep 2010
A first-year course teaches basic programming and problem-solving at the same time.
|Jul 2010
We performed coupled electro-mechanical finite element analysis of an electro-statically actuated micro-electro-mechanical (MEMS) device.
|Jul 2010
Cosimulating digital baseband components in MATLAB® and Simulink® with the analog components in Cadence® Virtuoso® AMS Designer enables Atmel to verify system performance well before committing to silicon.
|May 2010
This excerpt from the second edition of Digital Image Processing Using MATLAB teaches what morphological reconstruction means, illustrates some useful manipulations of binary images.
|Apr 2010
Using MATLAB®, Capgemini has developed a process for calculating economic capital that takes portfolio concentration into account.
|Mar 2010
This article demonstrates how to ease the calculation and use of gradients using Symbolic Math Toolbox™.
|Mar 2010
Using Information-Theoretic Statistics in MATLAB to Understand How Ecosystems Affect Regional Climates
University of Illinois researchers use advanced statistical methods to explain how changes in climate affect the ecosystem and how human changes to landscape affect the regional climate.
|Feb 2010
A low-cost, portable aeropendulum enables active, sensory learning that gets students excited about control system design.
|Jan 2010
This article demonstrates a workflow that uses built-in functionality in MATLAB® and related products to develop a classification algorithm for an isolated, speaker-dependent speech-recognition system.
|Jan 2010
MATLAB and Simulink based products give students direct experience in control design, image processing, and other topics.
|Nov 2009
This article focuses on two transparency patterns that can be applied to create a wide variety of image visualizations.
|Nov 2009
Outlines the challenges involved in the manual translation from MATLAB to C, demonstrates how to use the Embedded MATLAB subset for automatic translation, and provides best practices for coding your MATLAB algorithm to improve the generated C code.
|Nov 2009
By enabling C-code generation directly from MATLAB algorithms, the Embedded MATLAB language subset closes the gap between exploration and implementation.
|Nov 2009
Johns Hopkins University Applied Physics Laboratory is leading a worldwide team whose mission is to develop a prosthetic that enables the wearer to move with the speed, dexterity, and force of a real arm and perceive pressure, force, & temperature.
|Nov 2009
Model-Based Design enabled IAV to reduce their mass-production ECU development process from three years to just 18 months.
|Nov 2009
Developed under the guidance of Detroit engineers, a course in embedded control systems introduces seniors and first-year graduate students to industrystandard tools and Model-Based Design.
|Nov 2009
Cleve Moler discusses solving sudoku puzzles with MATLAB.
|Nov 2009
Designing audio codec filter in MATLAB and using Filter Design HDL Coder to generate synthesizable RTL code lets Mediatek rapidly evaluate filter architectures, optimize for silicon area & reduce the RTL code development cycle to less than 2 weeks.
|Nov 2009
Professor James L. McClelland, Stanford University,uses MATLAB simulations to explore complex cognitive processes. MATLAB enables them to visualize the networks as they evolve over time and perform simulation and analysis in a single environment.
|Oct 2009
Nonlinear mixed-effects modeling provides a good solution for modeling sparse datasets. Using population pharmacokinetics (popPK) data as an example.
|Jul 2009
To determine whether the wing design of a small passenger aircraft meets strength requirements, we derive analytical models of the loads and bending moments on the wing using the notebook interface in Symbolic Math Toolbox.
|Jul 2009
Using an aerospace system model as an example, this article describes the parallelization of a controller parameter tuning task using Parallel Computing Toolbox and Simulink Design Optimization.
|May 2009
Analyzing High-Speed Video Images to Quantify the Performance of Innovative Drug Delivery Technology
In a joint effort with MathWorks Consulting Services, Alkermes developed a video capture and analysis procedure that provides information on the physical factors influencing performance of a capsule-based drug inhaler.
|May 2009
In only its third year of competition,The Technische Universiteit Eindhoven (TU/e) team placed second in the RoboCup Middle Size League championship, beating teams that had been competing for six years or more, including former world champions.
|Apr 2009
A BYU professor describes how students in In ECEn 485: Introduction to Digital Communication Theory use MATLAB and Simulink to design and test digital modems and communication systems.
|Apr 2009
This article describes two ways to use parallel computing to accelerate the solution of computationally expensive optimization problems.
|Mar 2009
EquuSys used MATLAB to develop an easy-to-use, non-invasive system for identifying and diagnosing equine lameness. The system processes telemetry data to provide objective data on equine biomechanics in the form of charts, 3-D plots, and animation.
|Mar 2009
Undergraduate Engineers Develop Hydraulic Servo Control Systems Using Model-Based Design with Simulink
Students use MATLAB and Simulink to process lab data and model and simulate open-and closed-loop systems. Simulink and Real-Time Windows Target enable them to connect control design theory with practical implementation.
|Feb 2009
When Tesla Motors developed the world's first all-electric product sports car, they used Model-Based Design to model the entire vehicle and its major subsystems, run detailed simulations, analyze performance, and evaluate design trade-offs.
|Jan 2009
This article shows how engineers who use Simulink and Stateflow within Model-Based Design can integrate state machines and control logic designed with Stateflow with Simulink blocks, subsystems, and components.
|Jan 2009
In this paper we develop an open architecture HIL system for a J1939 bandwidth study and show how this HIL system can test and validate that heavily loaded networks can operate without compromising the performance of safety-critical systems.
|Nov 2008
BMW developed a motion-stereo system that constructs a 3-D model of the area around the car from 2-D images generated by a single side-view camera.
|Nov 2008
At Virginia Military Institute, undergraduates complete digital signal processing labs and conduct independent research projects with MATLAB and Data Acquisition Toolbox.
|Oct 2008
This article explains the rational behind some of the design decisions in MATLAB R2008a, including why MATLAB object-oriented features differ in significant ways from other popular object-oriented languages.
|Sep 2008
Applying object-oriented techniques improves your ability to manage software complexity–particularly important when developing and maintaining large applications and data structures.
|Sep 2008
Tips and best practices to help you become fluent in MATLAB and achieve your programming goals.
|Sep 2008
Free, online book for educators and high-school students looking for material that goes beyond the standard courses.
|Sep 2008
Article Reprint from The MathWorks News & Notes, 2008: MATLAB based algorithms translate the millions of drive files accumulated by test vehicles into reports on vehicle performance and refueling infrastructure.
|Sep 2008
Using a typical numerical computing problem as an example, this article describes how to threads and parallel for loops to get code to work well in a multicore system.
|Sep 2008
New scenario analysis models enable Italy's leading bank to comply with Basel II requirements by holding capital against losses arising from operational risk.
|Sep 2008
An integrated framework enables technicians unfamiliar with communications theory to specify an SDR design at a high level of abstraction.
|Sep 2008
Aerospace, automotive, communications, mechatronics and other organizations solve the challenge of verifying and validating embedded systems comprising software and electronics.
|Sep 2008
This paper uses a hydromechanical actuator as an example to illustrate techniques for modeling, optimizing, and testing plant models in MATLAB® and Simulink®. High-performance computing clusters are used to speed up Monte Carlo techniques.
|Aug 2008
Professors describe a lab called "MATLAB meets LEGO Mindstorms," where more than 300 first-year students at RWTH Aachen University in Germany build and program their own robots.
|Aug 2008
In this article, we use MATLAB®, Image Processing Toolbox, and MATLAB Builder JA to create HDR Explorer, a Web-based experimental test platform that can be used to quickly evaluate how different HDR algorithms render LDR images.
|Jul 2008
Using a thermal model of a house as an example, this article describes a methodology for communicating with other devices via TCP/IP using inexpensive external hardware. The real-time system used is xPC Target.
|Jul 2008
Software systems deployed in safety-critical applications in aerospace and other industries must satisfy rigorous development and verification standards.
|May 2008
This article describes methods for modeling and simulating continuous and hybrid continuous-locking mechanical friction using Simulink, Simscape, SimDriveline, and SimMechanics. It is co-authored by Caterpillar and The MathWorks.
|May 2008
This article discusses how researchers at UC San Francisco and UC Davis analyzed high-resolution microscopy images of cells using MATLAB, Statistics Toolbox and Image Processing Toolbox.
|Apr 2008
Using Functional Electrical Stimulation to Restore Movement to Individuals with Neuromuscular Disabilities
Case Western Reserve University researchers developed a programmable device that sends electrical signals to an implant that activates paralyzed limbs and muscles.
|Feb 2008
Using pre- and post-operative corneal topography data from a LASIK surgery patient as an example, this article describes the modal analysis of optics data using Zernike functions implemented in MATLAB®.
|Jan 2008
Use these tools and techniques to create designs that perform as expected over time and are insensitive to changes in manufacturing, operational, or environmental factors.
|Jan 2008
Analyzing array-based comparative genomic hybridization data.
|Dec 2007
Short Description/Meta Description (250 character limit): This paper studies techniques that can be used to reduce the time needed to run block diagram simulations, including automatic code generation and cluster computing.
|Nov 2007
This paper shows how a vehicle's geometry can be optimized, control coefficients calculated, open-loop plant model created, flight controller designed, and closed-loop simulation run, to confirm that system-level requirements are satisfied.
|Nov 2007
As any airline passenger who has experienced moderate turbulence knows, an aircraft is not a rigid structure. In certain circumstances, the complex interaction between the flexible structure and the aerodynamics can produce undesirable effects.
|Nov 2007
Students at the University of Washington (UW) use MATLAB® and other MathWorks products in one of our most popular courses— EE436: Medical Instrumentation.
|Oct 2007
Bird strikes are a common threat to aircraft safety. One of the most effective ways to prevent them is to know the likely position of birds in any given location throughout the day.
|Sep 2007
Using disparate tools and languages to develop analog mixed-signal ICs makes the design process prone to error, time-consuming, and complicated. Model-Based Design addresses these problems by completing all design stages in MATLAB and Simulink.
|Sep 2007
Pratt School of Engineering at Duke University requires all students to take Computational Methods in Engineering during their freshman year.
|Aug 2007
In the summer of 2002, flooding in Europe caused billions of Euros in damage. Five years earlier, a 75% drop in the Thai stock market contributed to a 554-point drop in the Dow Jones Industrial Average on October 27, 1997.
|Jul 2007
A unique experimental setup enables researchers to analyze avalanche behavior in a controlled laboratory setting.
|Jun 2007
The proliferation of multicore systems and clusters sets the stage for parallel computing with MATLAB.
|Jun 2007
Engineering tools and techniques are driving dramatic results in systems biology — from new drugs to biofuels.
|Jun 2007
Improve memory usage and increase code speed by understanding how MATLAB stores and accesses data.
|Jun 2007
Using MATLAB based fluid dynamics models, engineers simulated the airflow through all 154 kilometers of tunnels and shafts simultaneously.
|Jun 2007
Descriptions of new third-party products for enhancing MATLAB and Simulink for Video and Image Applications.
|Jun 2007
Using MATLAB graphics and GUI building tools, engineers developed an application for analyzing gain patterns in 3-D and 2-D simultaneously.
|Jun 2007
MATLAB based Vectorized Test Program Sets enable engineers to apply, measure, and analyze vectors of input and output signals in parallel.
|Jun 2007
Automated model checks help ensure that standards are correctly implemented in your Simulink model.
|Jun 2007
Many MATLAB users who analyze data, develop and verify algorithms, or create software applications leave the environment to import data from external hardware. This extra step creates inefficiencies by forcing the user to manually transfer data.
|May 2007
This paper discusses the challenges of performing configuration management of the models and associated files central to Model-Based Design for use in a production environment.
|Apr 2007
Tips and Tricks - Simplifying Measurement and Timer Callbacks with Nested Functions - New Online Support Features
Using nested functions and online support features.
|Oct 2006
Use MATLAB and Financial Toolbox to construct realistic, optimal portfolios that are stable over time.
|Oct 2006
A sample application analyzes worldwide temperature records and creates Excel charts from MATLAB data sets.
|Oct 2006
A MATLAB based monitoring tool lets hydrologists and ecologists use time series models to collect and interpret groundwater data.
|Oct 2006
System engineers streamline the workflow with Model-Based Design and a virtual breadboard.
|Oct 2006
Dr. Gene Golub has made the singular value decomposition one of the most powerful and widely used tools in modern matrix computation.
|Oct 2006
Engineers and scientists use a variety of approaches to improve or design quality into products.
|Jul 2006
What colors do these pixel values represent?
|Jul 2006
Vectorization is one of the core concepts of MATLAB. With one command it lets you process all elements of an array, avoiding loops and making your code more readable and efficient.
|Mar 2006
Electronically controlled automotive safety systems contribute significantly to vehicle safety, and they present a unique set of engineering challenges as well.
|Mar 2006
Cleve Moler recounts milestones in MathWorks history and the development of MATLAB.
|Jan 2006
What if Beethoven had been able to communicate directly with an electronic piano that could interpret his brain signals and record his compositions?
|Jan 2006
Two years ago, researchers for the Human Genome Project unveiled a component "glossary" of the human body that will ultimately yield a database of the 3,000,000,000 chemical base pairs (the DNA sequence) in the human genome.
|Jan 2006
In this article, we describe how to write an application to share information among multiple elements with elegant code using nested functions, a new feature in MATLAB 7.
|Jan 2006
On January 14, 2005, one engineer watched nervously as a probe named Huygens began its descent toward Titan, Saturn's largest moon.
|Jan 2006
PC-based rapid prototyping within Model-Based Design is widely recognized as a quick, efficient way to test ideas and experimental solutions early in development, when they are easier and less costly to fix.
|Jan 2006
Two new functions in MATLAB 7.1 (R14SP3) significantly simplify working with numeric datatypes at the byte level. The typecast function converts vector datatypes without changing the underlying bytes, and swapbytes changes endianness.
|Jan 2006
When you are developing algorithms to solve technical computing problems, it is often useful to create functions on-the-fly so that you can customize them at run-time without having to define them in files beforehand.
|Sep 2005
While choosing how to upgrade sort for MATLAB 7, we used MATLAB to prototype sort algorithms and to add the new sort direction qualifiers 'ascend' and 'descend'.
|Dec 2004
Cleve Moler describes his inspiration for authoring MATLAB.
|Dec 2004
Why is writing "good" code so important? Efficient code executes faster and uses fewer resources. Maintainable code enables you to review, learn from, reuse, and adapt the code.
|Dec 2004
MATLAB 7 introduces a number of enhancements to support large data set handling. These include improvements to file access, data storage efficiency, and data processing speed, as well as support for new 64-bit platforms.
|Nov 2004
An important new feature of the MATLAB Compiler 4 is the capability to deploy applications that use MATLAB objects, such as those provided by the Data Acquisition Toolbox.
|Sep 2004
This new capability enables processing of integer and single-precision data in its native type, resulting in more efficient memory usage and the ability to process larger, nondouble data sets.
|Jul 2004
The ten minutes it takes for data sent from Mars to reach Earth only intensified the suspense for engineers and scientists at the Jet Propulsion Laboratory (JPL) as they waited in the California night for news of the landings of two Mars Rovers.
|Jun 2004
In terms of their size and processing speeds, modern FPGAs (Field Programmable Gate Arrays) have attained a level that makes it possible not only to perform individual mathematical operations but also to accommodate entire DSP algorithms.
|Jan 2004
Cleve Moler explains the mathematical underpinnings of the MathWorks logo, the L-shaped membrane.
|Nov 2003
The MATLAB Editor autosave feature was introduced in MATLAB 6.5 (Release 13). This feature automatically maintains backup files that preserve your M-file changes if MATLAB terminates unexpectedly.
|Nov 2003
We hope you've seen it many times. It's on the covers of our books. It's on our business cards and stationery. It's even on a "sponsor a highway" sign on Route 9 in Natick,Massachusetts. But, do you really know what the logo is?
|Nov 2003
If you have ever lost your Command History for an entire session due to a system failure, you can avoid this by changing your preferences to save the history throughout the session instead of only at shutdown.
|May 2003
Many MATLAB users save time by pressing the up arrow key while in the Command Window to recall typed lines. Not nearly as many users, however, take advantage of the Command Window's tab completion feature.
|Jan 2003
The DICOM format describes how to compose messages to send between imaging modalities and defines a set of operations for transmitting them across a network.
|Nov 2002
Advances in the acquisition and analysis of biosignals such as electroencephalograms (EEGs) and electrocorticograms (ECoGs) are profoundly improving brain wave research.
|Nov 2002
Many organizations make their data publicly available on Internet servers and provide an interface for extracting slices or sections of that data.
|Oct 2002
In this technical example, we examine how to use SimMechanics to model physical components, synthesize controllers, and simulate the closed loop performance of a Stewart Platform, a six degrees-of-freedom positioning system.
|Sep 2002
MATLAB's special mathematical functions rely on skills from another era.
|Feb 2002
User-centered design techniques attempt to bring the user's perspective to the development process from the earliest stages of design.
|May 2001
We all use FFT s every day without even thinking about it.
|Jan 2001
Use these indexing and vectorization techniques to express your algorithms compactly and efficiently.
|Jan 2001
Explore the use of array operators on matrices to implement functions of one and two variables.
|Sep 2000
Explore the use of array operators on matrices to implement functions of one and two variables.
|Sep 2000
This is a supplement to the Cleve's Corner article, MATLAB Incorporates LAPACK.
|Jan 2000
Multirate Multistage Filtering: Using MATLAB and Simulink to design and implement very narrow filters
Engineers commonly face the challenge of designing filters with narrow passbands and transition bands.
|Jan 2000
A history of the digital autopilot that landed men on the Moon 30 years ago.
|Jun 1999
Cleve Moler introduces MATLAB objects and two early examples of object use in MATLAB.
|Jan 1999
Cleve Moler explains inverse, complex, hyperbolic, floating-point trigonometric functions in MATLAB.
|Jul 1998
Getting the most out of the deal function.
|Jun 1998
MATLAB Tips and Tricks: Exploiting the comma-separated list: Vectorizing cell array and structure references
Vectorizing cell array and structure references.
|Jan 1998
Eigshow helps explain eigenvalues and singular values.
|Jan 1998
Cleve Moler describes the advantages that the new stopping functions, g-stops, have over tf values in the ordinary differential equation solvers available in MATLAB 5 and Simulink 2.
|Sep 1997
Cleve Moler explains the benefits and drawbacks of using floating-point numbers.
|Oct 1996
Cleve Moler describes the applications and capabilities of the five ODE solvers available in MATLAB 5 and Simulink 2.
|Sep 1996
Cleve Moler explains how the MATLAB compiler can speed mathematical computations by compiling function M-files.
|Mar 1996
Cleve Moler recounts the people and events that led to mainstream awareness of the Pentium FDIV bug, his own role in that process, and the mathematical basis for the problem.
|Dec 1995
Cleve Moler covers random number generation and explains why the rand function in MATLAB 5.0 was updated.
|Oct 1995
Cleve Moler explores the QR algorithm and its MATLAB implementation.
|Jul 1995
Cleve Moler explains why there was skepticism about the viability of running MATLAB on parallel computers in 1995.
|May 1995
Cleve Moler takes an early look at symbolic computation in MATLAB.
|Dec 1994
Cleve Moler discusses LINPACK and five other benchmarks used to gauge computational performance and megaflops in 1994.
|Aug 1994
Cleve Moler explores the Jordan Canonical Form (JCF) and its extreme sensitivity to perturbation.
|May 1994
Cleve Moler explains the relevance of magic squares in modern mathematics, using them to explain features of MATLAB and illustrate concepts from linear algebra.
|Dec 1993
Cleve Moler recalls the Fortran List Oriented Package (FLOP) symbolic mathematical computation system and recounts the origins of Symbolic Math Toolbox.
|Jul 1993
Cleve Moler explores the mathematics behind matrix exponential, matrix logarithm, and matrix square root functions and their inverses in MATLAB.
|May 1993
Cleve Moler explains the behavior of the finite Fourier transform and the fast finite Fourier transform algorithms implemented in MATLAB in 1992.
|May 1992
Cleve Moler explains why the roots1 function was removed from MATLAB.
|May 1991
Cleve Moler presents solutions to an ill-defined mathematical problem.
|Dec 1990
Cleve Moler explores the concepts of extended precision and double-rounding in numeric computations.
|Apr 1990
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text:
Ancient Mysteries: Secrets of the Aztecs DVD
Sale Price: $24.98
To Order by Phone Call 1-800-933-6249
- Additional Details
- Format: DVD
- Rating: Not Rated
- Number of Discs: 1
- Run Time: 50 Minutes
- Region: Region 1
- Aspect Ratio: Fullscreen
- Language: English
- Studio: A&E Home Video
- DVD Release Date: December 19, 2006
- Audio: ENGLISH: Dolby Digital Stereo
- Genre: Documentary
- Color: Black & White / Color
- Includes:
Scene Selection
Interactive Menus
- Release Date: 1996
Join archeologists in uncovering the mysteries of one of the great civilizations of the world.
- As many as a quarter million citizens lived in Tenochtitlan at its height.
- Mexico City was built atop the ruins of the Aztec capital, Tenochtitlan.
- The Aztec flourished from the 14th to 16th centuries.
Discover in this fascinating DVD the daily life and magnificent achievements of a great American society in the centuries before Europeans came to these shores. Archaeologists shed new light on the Aztecs, who grew from a wandering band called the Mexica to the dominating force of pre-Columbian Mexico.
In the 1970s, unsuspecting workers digging a ditch in Mexico City unearthed a stone decorated in relief. Little did they know they had stumbled across one of the most significant archeological discoveries in the Americas, eventually leading to the Great Temple of Tenochtitlan.
This remarkable DVD captures the thrill of their discovery and brings this great civilization to life.