Article (Scientific journals)
Novel Two-Bit Adaptive Delta Modulation Algorithms
Peric, Zoran; Denic, Bojan; Despotovic, Vladimir
2019In Informatica, 30 (1), p. 117-134
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Keywords :
Delta modulation; Predictive coding; speech coding; Signal to noise ratio; Laplacian source
Abstract :
[en] This paper introduces two novel algorithms for the 2-bit adaptive delta modulation, namely 2-bit hybrid adaptive delta modulation and 2-bit optimal adaptive delta modulation. In 2-bit hybrid adaptive delta modulation, the adaptation is performed both at the frame level and the sample level, where the estimated variance is used to determine the initial quantization step size. In the latter algorithm, the estimated variance is used to scale the quantizer codebook optimally designed assuming Laplace distribution of the input signal. The algorithms are tested using speech signal and compared to constant factor delta modulation, continuously variable slope delta modulation and instantaneously adaptive 2-bit delta modulation, showing that the proposed algorithms offer higher performance and significantly wider dynamic range.
Disciplines :
Computer science
Author, co-author :
Peric, Zoran;  University of Nis > Faculty of Electronic Engineering
Denic, Bojan;  University of Nis > Faculty of Electronic Engineering
Despotovic, Vladimir ;  University of Belgrade > Technical Faculty in Bor
External co-authors :
yes
Language :
English
Title :
Novel Two-Bit Adaptive Delta Modulation Algorithms
Publication date :
May 2019
Journal title :
Informatica
ISSN :
1822-8844
Publisher :
Lithuanian Academy of Sciences, Lithuania
Volume :
30
Issue :
1
Pages :
117-134
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Ministry of Education and Science of the Republic of Serbia
Available on ORBilu :
since 21 November 2019

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