DocumentCode
2434289
Title
An efficient algorithm for Gaussian-based signal decomposition
Author
Hong, Zou ; Zheng, Bao
Author_Institution
Xidian Univ., Xi´´an, China
fYear
2000
fDate
2000
Firstpage
221
Lastpage
224
Abstract
Parameter estimation of each atom in the adaptive Gaussian basis representation (AGR) is a key problem determining signal decomposition results, which requires an effective parameter estimation algorithm. An efficient algorithm is proposed to estimate the time-frequency atoms in AGR. Compared with the algorithm presented in AGR, the parameter estimation is more adaptive, and the estimation accuracy is greatly improved through an iterative method. Numerical simulations confirm the results
Keywords
Gaussian distribution; adaptive estimation; adaptive signal processing; iterative methods; parameter estimation; signal representation; time-frequency analysis; adaptive Gaussian basis representation; adaptive estimation; iterative method; numerical simulations; parameter estimation; signal decomposition; time-frequency atoms; Adaptive algorithm; Frequency estimation; Gaussian processes; Iterative algorithms; Iterative methods; Parameter estimation; Signal analysis; Signal resolution; Spectrogram; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on
Conference_Location
Pocono Manor, PA
Print_ISBN
0-7803-5988-7
Type
conf
DOI
10.1109/SSAP.2000.870115
Filename
870115
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