DocumentCode :
3052307
Title :
Voice channel
Author :
Iyengar, Garud N.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
fYear :
1997
fDate :
29 Jun-4 Jul 1997
Firstpage :
332
Abstract :
We introduce and offer a partial solution to the voice-channel problem. We are motivated by the problems in speech processing and recognition. 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
Keywords :
Gaussian channels; channel capacity; fading; filtering theory; modulation; random processes; speech processing; speech recognition; voice communication; Gaussian fading channels; achievable rates; channel capacity; distribution; filters; information transmission; random input signal modulation; speech processing; speech recognition; voice channel problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
Type :
conf
DOI :
10.1109/ISIT.1997.613260
Filename :
613260
Link To Document :
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