Article (Scientific journals)
Forward Adaptive Laplacian Source Coding Based on Restricted Quantization
Denic, Bojan; Peric, Zoran; DESPOTOVIC, Vladimir et al.
2018In Information Technology and Control, 47 (2), p. 209-219
Peer reviewed
 

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Keywords :
Restricted scalar quantization; Switched quantization; Lloyd-Max’s algorithm; Huffman code; Forward adaptation
Abstract :
[en] A novel solution for Laplacian source coding based on three-level quantization is proposed in this paper. The restricted three-level quantizer is designed by assuming the restricted Laplacian distribution of the input signal. Quantizer and Huffman encoder are jointly designed. Forward adaptive scheme was employed, where the adaptation to the signal variance (power) was performed on frame-by frame basis. We employ switched model that consists of two restricted quantizers having unequal support regions. The simulation results (measured as SQNR) of the proposed scheme with a switched restricted three-level quantizer are compared to the cases when it involves three-level unrestricted quantizer and the Lloyd-Max quantizers having N=2 and N=4 levels. It is shown that the proposed solution offers performance comparable to the one of N=4 levels Lloyd-Max’s baseline with large savings in bit rate, while outperforming two other baselines.
Disciplines :
Computer science
Author, co-author :
Denic, Bojan;  University of Nis > Faculty of Electronic Engineering
Peric, Zoran;  University of Nis > Faculty of Electronic Engineering
DESPOTOVIC, Vladimir ;  University of Belgrade > Technical Faculty in Bor
Vucic, Nikola;  University of Nis > Faculty of Electronic Engineering
External co-authors :
yes
Language :
English
Title :
Forward Adaptive Laplacian Source Coding Based on Restricted Quantization
Publication date :
May 2018
Journal title :
Information Technology and Control
ISSN :
1392-124X
Publisher :
Kaunas University of Technology, Lithuania
Volume :
47
Issue :
2
Pages :
209-219
Peer reviewed :
Peer reviewed
Funders :
Ministry of Education and Science of the Republic of Serbia
Available on ORBilu :
since 24 October 2019

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