In signal processing, data compression, source coding, or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying unnecessary information and removing it. The process of reducing the size of a data file is referred to as data compression. In the context of data transmission, it is called source coding (encoding done at the source of the data before it is stored or transmitted) in opposition to channel coding. 

Compression is useful because it helps reduce resource usage, such as data storage space or transmission capacity. Because compressed data must be decompressed to use, this extra processing imposes computational or other costs through decompression; this situation is far from being a free lunch. Data compression is subject to a space–time complexity trade-off. For instance, a compression scheme for video may require expensive hardware for the video to be decompressed fast enough to be viewed as it is being decompressed, and the option to decompress the video in full before watching it may be inconvenient or require additional storage. The design of data compression schemes involves trade-offs among various factors, including the degree of compression, the amount of distortion introduced (when using lossy data compression), and the computational resources required to compress and decompress the data. QUESTIONS:

Q1:
1. What is the utility of compression?
2. What are the benefits of compression?
3. 
Q2:
1. What kinds of resource usage exist?
2. List the types of resource usage.
3. 
Q3:
1. 
2. 
3. 
Q4:
1. What is an example of decompression?
2. What is one instance where decompression is done?
3. 
Q5:
1. What took advantage of encoding information?
2. What used encoding information?
3. 
Q6:
1. What is the name of the process that uses encoding information?
2. Which process needs encoding information?
3. 
Q7:
1. What kinds of compression exist?
2. What are names of the two kinds of compression?
3. 
Q8:
1. What defines lossy compression?
2. What is the meaning of lossy compression?
3. 
Q9:
1. What is the definition of data compression?
2. What happens when data is compressed?
3. 
Q10:
1. Is video compression expensive?
2. Does it cost a lot of money to compress a video?
3. 
