Title :
Compressors for combined source and channel coding with applications to the generalized Gaussian family (Corresp.)
Author :
Kuhlmann, Federico ; Bucklew, James A. ; Wise, Gary L.
fDate :
1/1/1983 12:00:00 AM
Abstract :
The twin tools of asymptotic quantization theory and rate-distortion theory are used to find an expression for the approximate total mean-squared distortion of the series connection of a nonuniform quantizer and a noisy channel. The nonuniform quantizer is modeled as a compressor followed by a uniform quantizer. The approximate total mean-squared error distortion is minimized over a class of parameterized compressor characteristics for input processes whose univariate probability density functions are members of the generalized Gaussian family.
Keywords :
Coding/decoding; Gaussian processes; Quantization (signal); Rate-distortion theory; Signal quantization; Source coding; CAMAC; Channel coding; Collimators; Compressors; Contracts; Error correction codes; Mathematics; Probability density function; Quantization; Seminars;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1983.1056618