Author :
Iyengar, Garud N.
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
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;
Conference_Titel :
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-8316-3
DOI :
10.1109/ACSSC.1997.679124