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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Analysis of the Hybrid PSO-InC MPPT for Different Partial Shading Conditions, LEOPOLDINO, A. L. M., FREITAS, C. M., MONTEIRO, L. F. C.
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  3/2011 - 10

ADPCM Using a Second-order Switched Predictor and Adaptive Quantizer

DESPOTOVIC, V. See more information about DESPOTOVIC, V. on SCOPUS See more information about DESPOTOVIC, V. on IEEExplore See more information about DESPOTOVIC, V. on Web of Science, PERIC, Z. See more information about PERIC, Z. on SCOPUS See more information about PERIC, Z. on SCOPUS See more information about PERIC, Z. on Web of Science
 
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Download PDF pdficon (1,829 KB) | Citation | Downloads: 1,329 | Views: 4,570

Author keywords
adaptive coding, correlation, predictive coding, speech processing, signal to noise ratio

References keywords
speech(11), coding(5), packet(4), loss(4), algorithm(4), adaptive(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 61 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03010
Web of Science Accession Number: 000296186700010
SCOPUS ID: 80055075779

Abstract
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Adaptive differential pulse code modulation (ADPCM) with forward gain-adaptive quantizer and second-order 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.


References | Cited By

Cited-By Clarivate Web of Science

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SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] Asymmetrical Two-Level Scalar Quantizer with Extended Huffman Coding for Compression of Laplacian Source, PERIC, Z., NIKOLIC, J., VELIMIROVIC, L., STANKOVIC, M., ALEKSIC, D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02006
[CrossRef] [Full text]

[2] Linearization of Optimal Compressor Function and Design of Piecewise Linear Compandor for Gaussian Source, NIKOLIC, J., PERIC, Z., ALEKSIC, D., ANTIC, D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.04013
[CrossRef] [Full text]

[3] Speaker-dependent Wavenet-based Delay-free Adpcm Speech Coding, Yoshimura, Takenori, Hashimoto, Kei, Oura, Keiichiro, Nankaku, Yoshihiko, Tokuda, Keiichi, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 978-1-4799-8131-1, 2019.
Digital Object Identifier: 10.1109/ICASSP.2019.8682264
[CrossRef]

Updated 4 days, 22 hours ago

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Faculty of Electrical Engineering and Computer Science
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