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소스 코딩

처리할 신호의 형식 지정

다양한 소스 코딩을 적용하여 대표 파티션, 특정 코드북 매핑, 압축, 확장, 압신 및 양자화에 따라 신호의 형식을 지정합니다.

함수

arithdecoDecode binary code by arithmetic decoding
arithencoEncode sequence of symbols by arithmetic encoding
compandSource coding mu-law or A-law compressor or expander
dpcmdecoDecode using differential pulse code modulation
dpcmencoEncode using differential pulse code modulation
dpcmoptOptimize differential pulse code modulation parameters
huffmandecoDecode binary code by Huffman decoding
huffmandict알려진 확률 모델을 사용하여 소스에 대한 허프만 코드 사전을 생성
huffmanenco허프만 인코딩으로 심볼 시퀀스 인코딩
lloydsOptimize quantization parameters using Lloyd algorithm
quantiz양자화 인덱스와 양자화된 출력값 생성

객체

comm.DifferentialDecoderDecode binary signal using differential decoding
comm.DifferentialEncoderEncode binary signal using differential coding

블록

A-Law CompressorImplement A-law compressor for source coding
A-Law ExpanderImplement A-law expander for source coding
Differential DecoderDecode binary signal using differential coding
Differential EncoderEncode binary signal using differential coding
Mu-Law CompressorImplement µ-law compressor for source coding
Mu-Law ExpanderImplement µ-law expander for source coding
Quantizing DecoderDecode quantization index according to codebook
Quantizing EncoderQuantize signal using partition and codebook

도움말 항목

  • 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.