Title :
A robust backward adaptive quantizer
Author :
Martinez, Dominique ; Yang, Woodward
Author_Institution :
Lab. d´´Autom. et d´´Anal. des Syst., CNRS, Toulouse, France
fDate :
31 Aug-2 Sep 1995
Abstract :
This paper describes an adaptive encoder/decoder for efficient quantization of nonstationary signals. The system uses a robust backward adaptive encoding method such that the adaptation of the encoder and decoder is only determined by the transmitted codeword and does not require any additional side information. By incorporating a forgetting parameter, the quantizer is also robust to transmission errors and encoder/decoder mismatches. It is envisioned that practical applications of this algorithm can be used in the design of adaptive codecs (A/D and D/A converters) or as an efficient source coding algorithm for transmission of digitized speech
Keywords :
adaptive decoding; quantisation (signal); source coding; adaptation; adaptive codecs; digitized speech transmission; encoder/decoder mismatches; forgetting parameter; nonstationary signals; robust backward adaptive encoding method; robust backward adaptive quantizer; source coding algorithm; transmission errors; Algorithm design and analysis; Codecs; Decoding; Distortion measurement; Electronics packaging; Quantization; Robustness; Shape; Signal design; Statistics;
Conference_Titel :
Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-2739-X
DOI :
10.1109/NNSP.1995.514928