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Data compression
Development of source coding for communication systems
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Source coding is a way of manipulating data in order to use it in later processing more efficiently. In the context of communication systems, it is important to know the characteristics of different source coding schemes to choose the best one for the desired application.
For this purpose, we'll analyse three source coding methods: non-uniform quantization, Huffman coding and arithmetic coding.
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Huffman coding
Overview: Huffman Coding is a source coding method considered as a variable word length Coding (VLC). In 1952, Huffman proposed a coding...
Week 4
This week, I finished making graphical interface. It's able to... Chooses which files to open (and where to save the output) via the...
Week 3
Last week I ended with the creation of the u-law function. This week I had tried to get the A-law equilivent working as well. A-law is...
Week 2
This week I coded the analogue version of μ-law. Implementing this in matlab caused some problems. For one, implementing the equation...
Week 1 - Looking into what are non-uniform coding schemes?
Non-uniform coding schemes, such as μ-law (or U-law) and A-law, are companding techniques which are used to preserve dynamic range of a...
Arithmetic coding
Arithmetic coding is a coding method based in stream-based encoding. It depends on performing arithmetic operations on the probabilities...
Introduction: Source coding for data compression in communication systems
Data compression provides a way to represent information in compact form using structures present in the data itself. This is especially...
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Team members
Daniel Cawley
Ximing Li
Xiangjing Xing
Edgar Gallardo
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