DocumentCode :
356652
Title :
Selective signal cancellation for multiple-listener audio applications: an information theory approach
Author :
Bharitkar, Sunil ; Kyriakakis, C.
Author_Institution :
Immersive Audio Lab.-Integrated Syst. Center, Univ. of Southern California, Los Angeles, CA, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
245
Abstract :
Selectively cancelling signals at specific locations within an acoustical environment with multiple listeners is of significant importance for home theater, teleconferencing, office, industrial and other applications. The traditional noise cancellation approach is impractical for such applications because it requires sensors that must be placed on the listeners. We propose an alternative method to minimize signal power in a given location and maximize signal power in another location of interest. A key advantage of this approach would be the need to eliminate sensors. We investigate the use of an information theoretic criterion known as mutual information to design filter coefficients that selectively cancel a signal in one audio channel, and transmit it in another (complementary) channel. Our results show an improvement in power gain at one location in the room relative to the other
Keywords :
audio signal processing; information theory; noise; optimisation; audio channel; filter coefficients; home theater; industrial applications; information theory; multiple-listener audio applications; office applications; selective signal cancellation; sensors; signal power; teleconferencing; AWGN; Acoustic noise; Acoustic sensors; Density measurement; Information filtering; Information filters; Information theory; Mutual information; Noise cancellation; Signal design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
Type :
conf
DOI :
10.1109/ICME.2000.869588
Filename :
869588
Link To Document :
بازگشت