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Gaussian Source Coding using a Simple Switched Quantization Algorithm and Variable Length CodewordsPERIC, Z.   , PETKOVIC, G. , DENIC, B. , STANIMIROVIC, A. , DESPOTOVIC, V. , STOIMENOV, L. |
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Author keywords
Gaussian distribution, quantization, source coding, signal processing algorithms, signal to noise ratio
References keywords
source(8), coding(8), speech(7), signal(7), gaussian(7), quantization(6), scalar(5), quantizers(5), logarithmic(5), optimal(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-11-30
Volume 20, Issue 4, Year 2020, On page(s): 11 - 18
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.04002
Web of Science Accession Number: 000594393400002
SCOPUS ID: 85098140347
Abstract
This paper introduces an algorithm based on switched scalar quantization utilizing a novel -law quantization model (optimized in terms of minimal distortion) and variable length codewords, for high-quality encoding of the signals modeled by Gaussian distribution. The implemented -law quantizer represents an improvement of the standard -law quantizer in terms of bit rate, at the same time providing the equal signal quality. The main concept of the algorithm is to divide the range of the input signal variances into a certain number of sub-ranges, and to design the optimal quantizer for each sub-range. The signal is processed frame-by-frame, and for each frame the best performing quantizer is chosen, where the estimated frame variance is used as the switching criterion. Theoretical results indicate that the proposed algorithm achieves performance comparable to the standard -law quantizer, enabling the compression of about 0.5 bit/sample. The simulation results are provided to confirm the correctness of the proposed model. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
