Maximum likelihood frequency estimation of periodic signals with slowly time-varying amplitude and phase

被引：0
|
作者：
Logothetis, A
Saleem, SK
机构：
来源：
ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2 | 1996年
关键词：
frequency estimation; parameter estimation; Expectation Maximisation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper applies the Expectation-Maximisation (EM) algorithm for computing the maximum likelihood (ML) estimate of the fundamental frequency (constant parameter) of a complex multiharmonic signal measured in noise. Most importantly, the individual harmonics have time-varying complex amplitudes, conditional mean estimates of these are obtained using a fixed interval Kalman smoother.
引用
收藏
页码：314 / 315
页数：2
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