JOINT TIME-SPECTRAL VECTOR QUANTIZATION AND INVERSE FILTER SET.

Yasuo Matsuyama

JOINT TIME-SPECTRAL VECTOR QUANTIZATION AND INVERSE FILTER SET.

Yasuo Matsuyama^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A joint time-spectral vector quantization that achieves much lower bit rates on the average than ordinary spectral vector quantizers is discussed. The principle and quantities used are contained within the theory of linear predictive coding (LPC) so that theoretical clearness and the circumvention of unnecessary system complexity are promoted. The theory and method lead to an architecture for a pipelined inverse filter array for VLSI.

Original language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	IEEE
Pages	441-444
Number of pages	4
Publication status	Published - 1986
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering
Acoustics and Ultrasonics

Cite this

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title = "JOINT TIME-SPECTRAL VECTOR QUANTIZATION AND INVERSE FILTER SET.",

abstract = "A joint time-spectral vector quantization that achieves much lower bit rates on the average than ordinary spectral vector quantizers is discussed. The principle and quantities used are contained within the theory of linear predictive coding (LPC) so that theoretical clearness and the circumvention of unnecessary system complexity are promoted. The theory and method lead to an architecture for a pipelined inverse filter array for VLSI.",

author = "Yasuo Matsuyama",

year = "1986",

language = "English",

pages = "441--444",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "IEEE",

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T1 - JOINT TIME-SPECTRAL VECTOR QUANTIZATION AND INVERSE FILTER SET.

AU - Matsuyama, Yasuo

PY - 1986

Y1 - 1986

N2 - A joint time-spectral vector quantization that achieves much lower bit rates on the average than ordinary spectral vector quantizers is discussed. The principle and quantities used are contained within the theory of linear predictive coding (LPC) so that theoretical clearness and the circumvention of unnecessary system complexity are promoted. The theory and method lead to an architecture for a pipelined inverse filter array for VLSI.

AB - A joint time-spectral vector quantization that achieves much lower bit rates on the average than ordinary spectral vector quantizers is discussed. The principle and quantities used are contained within the theory of linear predictive coding (LPC) so that theoretical clearness and the circumvention of unnecessary system complexity are promoted. The theory and method lead to an architecture for a pipelined inverse filter array for VLSI.

UR - http://www.scopus.com/inward/record.url?scp=0022902436&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022902436&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0022902436

SP - 441

EP - 444

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - IEEE

ER -

JOINT TIME-SPECTRAL VECTOR QUANTIZATION AND INVERSE FILTER SET.

Abstract

ASJC Scopus subject areas

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