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Quellcodierung

Formatieren von Signalen zur Verarbeitung

Sie können verschiedene Quellcodierungen verwenden, um Signale gemäß repräsentativen Partitionen, bestimmten Codebook-Zuordnungen, Komprimierung, Expansion, Kompandierung und Quantisierung zu formatieren.

Funktionen

`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

Objekte

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

Blöcke

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

Themen

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.