Source Coding

Format signals for processing

Communications Toolbox™ contains System objects, blocks, and functions to apply various source coding to format signals according to representative partitions, specific codebook mapping, compressing, expanding, companding, and quantization.

Functions

`arithdeco`	Decode binary code by arithmetic decoding
`arithenco`	Encode sequence of symbols by arithmetic encoding
`compand`	Source code mu-law or A-law compressor or expander
`dpcmdeco`	Decode using differential pulse code modulation
`dpcmenco`	Encode using differential pulse code modulation
`dpcmopt`	Optimize differential pulse code modulation parameters
`huffmandeco`	Huffman decoder
`huffmandict`	Generate Huffman code dictionary for source with known probability model
`huffmanenco`	Huffman encoder
`lloyds`	Optimize quantization parameters using Lloyd algorithm
`quantiz`	Produce quantization index and quantized output value

Objects

`comm.DifferentialDecoder`	Decode binary signal using differential decoding
`comm.DifferentialEncoder`	Encode binary signal using differential coding

Blocks

A-Law Compressor	Implement A-law compressor for source coding
A-Law Expander	Implement A-law expander for source coding
Differential Decoder	Decode binary signal using differential coding
Differential Encoder	Encode binary signal using differential coding
Mu-Law Compressor	Implement µ-law compressor for source coding
Mu-Law Expander	Implement µ-law expander for source coding
Quantizing Decoder	Decode quantization index according to codebook
Quantizing Encoder	Quantize signal using partition and codebook

Topics

Source Coding

Scalar quantization is a process that maps all inputs within a specified range to a common value.

Arithmetic Coding

Arithmetic coding offers a way to compress data and can be useful for data sources having a small alphabet.

Compand a Signal

In certain applications, such as speech processing, it is common to use a logarithm computation, called a compressor, before quantizing.

Differential Pulse Code Modulation

Learn about differential pulse code modulation (DPCM) and how it is used as a predictive quantization method.

Huffman Coding

Learn how to apply Huffman coding to your data.

Quantization

Scalar quantization is a process that maps all inputs within a specified range to a common value.

Source Coding

Functions

Objects

Blocks

Topics

Communications Toolbox Documentation

Support

5G Development with MATLAB