A baseband residual vector quantization algorithm for voiceband data signals

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Mathews, V. John
Other Author Tran, Thao D.; Rushforth, Craig K.
Title A baseband residual vector quantization algorithm for voiceband data signals
Date 1989
Description Abstract-In this paper, we present a new approach to the digitization and compression of a class of voiceband modem signals. Our approach, which we call baseband residual vector quantization (BRVQ), relies heavily upon the simple structure present in a modem signal. After the signal is converted to baseband, the magnitude sequence and the sequence of residuals obtained when the phase within each baud of the baseband signal is modeled by a straight line are separately vector quantized. In order to carry out these operations, we developed the new carrier-frequency estimation and baud-rate classification schemes described in the paper. Experimental results show that the performance of the BRVQ system at and below 16 kbits/s is better than that of a previously developed vector quantization scheme that has itself been shown to outperform traditional speech-compression techniques such as adaptive predictive coding, adaptive transform coding, and subband coding when these techniques are used to compress modem signals.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title Transactions on Communications
Volume 37
Issue 9
First Page 949
Last Page 955
Language eng
Bibliographic Citation Tran, T. D., Mathews, V. J., & Rushforth, C. K. (1989). A baseband residual vector quantization algorithm for voiceband data signals. Transactions on Communications, 37(9), 949-55. September.
Rights Management (c) 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 929,477 bytes
Identifier ir-main,15071
ARK ark:/87278/s63493n0
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-07-13
ID 703906
Reference URL https://collections.lib.utah.edu/ark:/87278/s63493n0
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