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Codage de la source

Formater les signaux pour le traitement

Appliquez différentes méthodes de codage de la source pour formater les signaux : partitions représentatives, mappage selon un livre de code spécifique, compression, expansion, compression-expansion et quantification.

Fonctions

`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

Objets

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

Blocs

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

Rubriques

Quantize and Compand an Exponential Signal
Differential Pulse Code Modulation
Use DPCM as a predictive quantization method.
Quantization
Quantize data to improve signal sampling efficiency in communications systems.