DocumentCode
339113
Title
Strong convergence rate of mixed cumulant estimators for sinusoidal signals
Author
Li, Hongwei ; Yuan, Baozong
Author_Institution
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
fYear
1998
fDate
1998
Firstpage
427
Abstract
We consider the strong convergence of single record mixed cumulant estimators for sinusoidal signals. The strong convergence rate of a second-order mixed cumulant estimator is obtained. For a fourth-order mixed cumulant estimator, the strong convergence rate is established under the fourth-order ergodicity conditions. These results are helpful in evaluating the performance of algorithms for harmonic-parameter estimation based on higher-order statistics
Keywords
convergence of numerical methods; higher order statistics; parameter estimation; signal processing; convergence rate; fourth-order ergodicity; fourth-order mixed cumulant estimator; harmonic-parameter estimation; higher-order statistics; performance evaluation; second-order mixed cumulant estimator; sinusoidal signals; Additive noise; Colored noise; Convergence; Gaussian noise; Higher order statistics; Nonlinear filters; Phase estimation; Power harmonic filters; Power system harmonics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770242
Filename
770242
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