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Novel Two-Bit Adaptive Delta Modulation Algorithms
Volume 30, Issue 1 (2019), pp. 117–134
Pub. online: 1 January 2019      Type: Research Article      Open accessOpen Access
Received
1 March 2018
Accepted
1 October 2018
Published
1 January 2019

Abstract

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.

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Biographies

Peric Zoran
zoran.peric@elfak.ni.ac.rs

Z. Peric was born in Niš, Serbia, in 1964. He received the BS, MS and PhD degrees from the Faculty of Electronic Engineering, University of Niš, Serbia, in 1989, 1994 and 1999, respectively. He is a full-time professor at Department of Telecommunications, Faculty of Electronic Engineering, University of Niš. His current research interests include the information theory and signal processing. He is an author and co-author of over 240 papers. Dr. Peric has been a reviewer of a number of journals, including IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Communications, Compel, Informatica, Information Technology and Control, Expert Systems with Applications and Digital Signal Processing.

Denic Bojan
bojan.denic@elfak.rs

B.D. Denic was born in Vrbeštica, township Uroševac, Serbia, in 1986. He received BS and MS degrees in electronics and telecommunications from the Faculty of Technical Sciences, University of Priština, Serbia. He is currently a research assistant and PhD student at the Faculty of Electronic Engineering, University of Niš, Serbia. His current research interests include scalar quantization and signal processing. He has published 5 papers in peer-reviewed international journals on the above subject.

Despotovic Vladimir
vdespotovic@tfbor.bg.ac.rs

V. Despotovic received his PhD degree in electrical engineering from the University of Niš, Serbia, in 2012. Currently he is working as assistant professor at the University of Belgrade, Serbia. Previously he was engaged as postdoctoral researcher at the University of Paderborn, Germany. His main research interests include statistical signal processing, natural language processing, speech coding, fractional calculus and machine learning.


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© 2019 Vilnius University
Open access article under the CC BY license.

Keywords
delta modulation predictive coding speech coding signal to noise ratio Laplacian source

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