DocumentCode
1845124
Title
Voice channel
Author
Iyengar, Garud N.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume
2
fYear
1997
fDate
2-5 Nov. 1997
Firstpage
1354
Abstract
In this work we introduce and offer a partial solution to the voice channel problem. The usual channel capacity problem involves choosing appropriate signals to communicate over a fixed channel. In contrast, the voice channel problem involves choosing appropriate channels or filters to modulate a random input signal from a known distribution. We want to characterize the set of distinguishable filters that maximize the information transmitted. The solution to this problem has tie-ins with achievable rates on Gaussian fading channels and multipath channels.
Keywords
Gaussian channels; channel capacity; filtering theory; multipath channels; voice communication; Gaussian fading channels; channel capacity; distinguishable filters; multipath channels; partial solution; random input signal modulation; voice channel problem; Speech communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-8186-8316-3
Type
conf
DOI
10.1109/ACSSC.1997.679124
Filename
679124
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