DocumentCode
306686
Title
Average quantizer adaptation rates for stable nonstationary ADPCM
Author
Dasgupta, Soura
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA, USA
Volume
2
fYear
1996
fDate
11-13 Dec 1996
Firstpage
1902
Abstract
This paper considers finite time error recovery in ADPCM systems under the assumption of perfect prediction, but adaptive quantization with nonstationary prediction. Sufficient conditions are given on the average rate of quantizer step size adaptation and variation in the predictor parameters that causes the ADPCM system to recover from initial errors in a finite time
Keywords
differential pulse code modulation; prediction theory; quantisation (signal); speech processing; stability; adaptive differential PCM; adaptive quantization; finite time error recovery; nonstationary prediction; pulse code modulation; stability; stable nonstationary ADPCM; sufficient conditions; Cities and towns; Modulation coding; Pulse modulation; Quantization; Signal generators; Speech coding; Stability analysis; Sufficient conditions; Time varying systems; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location
Kobe
ISSN
0191-2216
Print_ISBN
0-7803-3590-2
Type
conf
DOI
10.1109/CDC.1996.572853
Filename
572853
Link To Document