复高阶周期平稳信号的非参数多谱估计

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Abstract Higher-order almost cycloststionary complex processes are complex random signals with almost periodically time-varying statistics, which is important to the research of non-Gaussian signals in information system. In this paper, smoothed polyperiodograms are proposed for related to cyclic polyspectral estimation and are shown to be consistent and asymptotically complex normal. Asymptotic covariance expressions are derived along with their computable forms.

Key words： Complex cyclostationary sequences Nonparametric cyclic-polyspectrum estimation Asymptotic statistical performance

Received: 28 February 1996

PACS:

TN911.23

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	Mao Yongcai
	Bao Zheng

Cite this article:

Mao Yongcai,Bao Zheng. NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES[J]. , 1997, 19(5): 577-583 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y1997/V19/I5/577

[1]	Mao Yongcai; Bao Zheng. ASYMPTOTIC PROPERTY STUDY OF THE LEAST SQUARE ESTIMATES OF 2-D EXPONENTIAL SIGNALS VIA COMPLEX SIGNAL PROCESSING APPROACH[J]. , 1998, 20(2): 145-150 .