ADPCM using a second-order switched predictor and adaptive quantizer

Vladimir Despotovic; Zoran Peric

doi:10.4316/aece.2011.03010

ADPCM using a second-order switched predictor and adaptive quantizer

Vladimir Despotovic^*, Zoran Peric

^*Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Abstract

Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and secondorder switched predictor based on correlation is presented in this article. Predictor consists of a bank of predetermined predictors for each block of speech samples, avoiding the need to solve, or quantize predictor coefficients during the coding process. The adaptation consists of switching to one of this predictors based on the values of the first and second order correlation coefficients. The theoretical model is generalization of the DPCM with the first order switched predictor for an arbitrary prediction order. Experimental results for ADPCM with the second-order four/eight state switched prediction based on correlation are provided.

Original language	English
Pages (from-to)	61-64
Number of pages	4
Journal	Advances in Electrical and Computer Engineering
Volume	11
Issue number	3
DOIs	https://doi.org/10.4316/aece.2011.03010
Publication status	Published - Aug 2011
Externally published	Yes

Keywords

Adaptive coding
Correlation
Predictive coding
Signal to noise ratio
Speech processing

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10.4316/aece.2011.03010

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abstract = "Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and secondorder switched predictor based on correlation is presented in this article. Predictor consists of a bank of predetermined predictors for each block of speech samples, avoiding the need to solve, or quantize predictor coefficients during the coding process. The adaptation consists of switching to one of this predictors based on the values of the first and second order correlation coefficients. The theoretical model is generalization of the DPCM with the first order switched predictor for an arbitrary prediction order. Experimental results for ADPCM with the second-order four/eight state switched prediction based on correlation are provided.",

keywords = "Adaptive coding, Correlation, Predictive coding, Signal to noise ratio, Speech processing",

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AU - Despotovic, Vladimir

AU - Peric, Zoran

PY - 2011/8

Y1 - 2011/8

N2 - Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and secondorder switched predictor based on correlation is presented in this article. Predictor consists of a bank of predetermined predictors for each block of speech samples, avoiding the need to solve, or quantize predictor coefficients during the coding process. The adaptation consists of switching to one of this predictors based on the values of the first and second order correlation coefficients. The theoretical model is generalization of the DPCM with the first order switched predictor for an arbitrary prediction order. Experimental results for ADPCM with the second-order four/eight state switched prediction based on correlation are provided.

AB - Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and secondorder switched predictor based on correlation is presented in this article. Predictor consists of a bank of predetermined predictors for each block of speech samples, avoiding the need to solve, or quantize predictor coefficients during the coding process. The adaptation consists of switching to one of this predictors based on the values of the first and second order correlation coefficients. The theoretical model is generalization of the DPCM with the first order switched predictor for an arbitrary prediction order. Experimental results for ADPCM with the second-order four/eight state switched prediction based on correlation are provided.

KW - Adaptive coding

KW - Correlation

KW - Predictive coding

KW - Signal to noise ratio

KW - Speech processing

UR - https://www.scopus.com/pages/publications/80055075779

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JO - Advances in Electrical and Computer Engineering

JF - Advances in Electrical and Computer Engineering

IS - 3

ER -

ADPCM using a second-order switched predictor and adaptive quantizer

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Keywords

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