DocumentCode :
284991
Title :
Integration of STFT and Wigner analysis in a knowledge-based system for sound understanding
Author :
Bitar, N.N. ; Nawab, S.H. ; Dorken, E. ; Paneras, D.E.
Author_Institution :
Boston Univ., MA, USA
Volume :
4
fYear :
1992
fDate :
23-26 Mar 1992
Firstpage :
585
Abstract :
The authors describe and demonstrate how the combined use of Wigner and short-time Fourier transform (STFT) processing can be used to advantage in a sound understanding application. Specifically, the Wigner processing of a signal is used for alerting the signal understanding system to the possibility of inadequate time or frequency resolution in the STFT processing of the same signal. The signal understanding system may then reprocess the signal with an STFT with a different window length. The knowledge-based control required for carrying out such signal processing is available in a sound understanding system in the context of which this research was carried out
Keywords :
Fourier transforms; acoustic signal processing; knowledge based systems; telecommunications computing; Wigner transform; knowledge-based system; short-time Fourier transform; signal processing; signal understanding system; sound understanding application; Acoustic signal processing; Contracts; Control systems; Knowledge based systems; Signal analysis; Signal design; Signal generators; Signal processing; Signal resolution; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
ISSN :
1520-6149
Print_ISBN :
0-7803-0532-9
Type :
conf
DOI :
10.1109/ICASSP.1992.226380
Filename :
226380
Link To Document :
بازگشت