Average quantizer adaptation rates for stable nonstationary ADPCM

S Dasgupta

doi:10.1109/CDC.1996.572853

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Conference proceeding

Average quantizer adaptation rates for stable nonstationary ADPCM

S Dasgupta

Proceedings of 35th IEEE Conference on Decision and Control, Vol.2, pp.1902-1903 vol.2

IEEE Conference on Decision and Control, 35 (Kobe, Japan, 12/13/1996)

1996

DOI: 10.1109/CDC.1996.572853

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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.

Cities and towns

Modulation coding

Pulse modulation

Quantization

Signal generators

Speech coding

Stability analysis

Sufficient conditions

Time varying systems

Transfer functions

Details

Title: Subtitle: Average quantizer adaptation rates for stable nonstationary ADPCM
Creators: S Dasgupta - University of Iowa
Resource Type: Conference proceeding
Publication Details: Proceedings of 35th IEEE Conference on Decision and Control, Vol.2, pp.1902-1903 vol.2
Conference: IEEE Conference on Decision and Control, 35 (Kobe, Japan, 12/13/1996)
Publisher: IEEE
DOI: 10.1109/CDC.1996.572853
ISSN: 0191-2216
Language: English
Date published: 1996
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984198012402771

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