DocumentCode :
284670
Title :
Signal approximation via data-adaptive normalized Gaussian functions and its applications for speech processing
Author :
Qian, Shie ; Chen, Dapang ; Chen, Kebo
Author_Institution :
National Instruments, Austin, TX, USA
Volume :
1
fYear :
1992
fDate :
23-26 Mar 1992
Firstpage :
141
Abstract :
A signal approximation via data-adaptive normalized Gaussian functions is presented. This approach resembles the traditional Gabor expansion, but it is more precise and efficient. Numerical simulations for the speech signal are included to demonstrate the effectiveness of the new scheme
Keywords :
approximation theory; speech analysis and processing; Gabor expansion; data-adaptive normalized Gaussian functions; numerical simulations; signal approximation; speech processing; speech signal; Bandwidth; Biomedical signal processing; Bridges; Digital signal processing; Instruments; Numerical simulation; Sampling methods; Signal processing; Speech processing; 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.1992.225952
Filename :
225952
Link To Document :
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