Source Coding

Format signals for processing

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 coding 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`	Decode binary code by Huffman decoding
`huffmandict`	Generate Huffman code dictionary for source with known probability model
`huffmanenco`	Encode sequence of symbols by Huffman encoding
`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.

Quantize and Compand an Exponential Signal

When transmitting signals with a high dynamic range, quantization using equal length intervals can result in loss of precision and signal distortion.

Differential Pulse Code Modulation

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

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

Bridging Wireless Communications Design and Testing with MATLAB