An efficient algorithm for Gaussian-based signal decomposition

被引：0
|
作者：
Hong, Z [1 ]
Zheng, B [1 ]
机构：
[1] Xidian Univ, Xian 710071, Peoples R China
来源：
PROCEEDINGS OF THE TENTH IEEE WORKSHOP ON STATISTICAL SIGNAL AND ARRAY PROCESSING | 2000年
关键词：
D O I：
10.1109/SSAP.2000.870115
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. In this paper, 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.
引用
收藏
页码：221 / 224
页数：4
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