ping sonar for speed measurement
i am working on a project where i need accurate speed measurement underwater. could the ping sonar be used to deduce a forward velocity (perhaps with a doppler shift calculation)? or is it not really suitable for that use case?

thanks
hi [@cavediver](/u/cavediver), welcome to the forum :slight\_smile:

[image] cavediver:

could the ping sonar be used to deduce a forward velocity (perhaps with a doppler shift calculation)?

both the [ping sonar altimeter and echosounder](https://bluerobotics.com/store/sensors-sonars-cameras/sonar/ping-sonar-r2-rp/), or the [ping360 scanning imaging sonar](https://bluerobotics.com/store/sensors-sonars-cameras/sonar/ping360-sonar-r1-rp/) are designed and set up to work as …
supercomputer is a type of computer that is use for high level of performance. the performance of a supercomputer is measured in floating point operations per second ( flops ).

it is impossible to know the exact numbers not aware of any specific reason why it wouldn't work. whether it will hinder performance depends on what you're going to do. the straight distance between two place on a map can be measured by a strip of paper and divider.use a ruler to measure the distance between the two places. if the line is quite curved, use a string to determine the distance, and then measure the string. find the scale for the map you're going to use. it might be a ruler bar scale or a written scale, in words or numbers. dear student,
kindly refer to the links given below for an answer to a similar
query :

https://www meritnation
com/ask-answer/question/graphically-representlongitudinal-wave-transverse-wave/sound/11089393


https://www meritnation
com/ask-answer/question/explain-briefly-about-longitudinal-wave-transverse/sound/9951933

hope this information will clear your doubts about topic
if you have any more doubts just ask here on the forum and our
experts will try to help you out as soon as possible

regards hi @gzimmermann - we do send engineers out to take routine readings, whether you have a smart meter or a traditional meter. they'd be from morrisons data services if we've sent them, and they should carry identification if you did want to ask for proof.

hope this helps! hiyou're talking to fellow pp customers on this forum. but we will help if we can.heres a link for you to have a look at:https://community.purepla.net/smart-meters-and-ihds-33/if-i-switch-supplier-will-my-smart-meter-work-10329 ?solution:

step 1
in this problem we need to clarify why shaker sort is efficient for sorting lists that are already in close to the correct order.
step 2
shaker sort is a sorting algorithm which compares pairs of adjacent elements, interchanging them if they are not in order. it moves one element at a time till it has reached its proper place in the ordered list by comparing element adjacent to it and also it sorts elements in both directions as it passes through the list. 
for a list that is already close to the correct order, shaker sort will only find the elements that are not in correct place and then put these elements in its correct position. since there are going to be a few elements which are not in their correct position therefore it will take less time for shaker sort to correct the order of the elements. hi,

unfortunately, this information is not available.

but you can calculate the motion via matched bbox in adjacency frame directly.

thanks. trueexplanation: physical balance is very sensitive and used in labs for measuring. it is similar to beam balance. it can measure small differences in mass up to milligram. @pankajkumardas, 

converting geophysical data from the space (or time) domain to the frequency domain (via fast fourier transform) is common practice in geophysics, particularly when wanting to apply some sort of filter to that data. 

we do this because it is more computationally efficient to filter data in the frequency domain compared to the space domain. for example, applying a filter such as a first vertical derivative to a grid of magnetic data in the space domain requires convolution using a two-dimensional filter. depending on the type of filter, that process can be complex and therefore computationally expensive. 

transforming the data and the filter to the frequency domain allows us to simply multiply the two to get a filtered spectrum, which is then transformed back to a filtered grid in the space domain. this process is far more computationally efficient than convolution.

the following diagram describes the distinction between space and frequency domain filtering. it is taken from reeves (2005), which you can access here: http://www.geosoft.com/media/uploads/resources/technical-papers/aeromagnetic\_survey\_reeves.pdf




i'd urge you to download the document and review chapter 6, from which the diagram is taken.

best regards,