Title :
An efficient algorithm for Gaussian-based signal decomposition
Author :
Hong, Zou ; Zheng, Bao
Author_Institution :
Xidian Univ., Xi´´an, China
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;
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
DOI :
10.1109/SSAP.2000.870115
