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