Mao Yongcai, Bao Zheng. NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 577-583.
Citation:
Mao Yongcai, Bao Zheng. NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 577-583.
Mao Yongcai, Bao Zheng. NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 577-583.
Citation:
Mao Yongcai, Bao Zheng. NONPARAMETRIC POLYSPECTRAL ESTIMATORS FOR k-TH-ORDER (ALMOST) CYCLOSTATIONARY COMPLEX PROCESSES[J]. Journal of Electronics & Information Technology, 1997, 19(5): 577-583.
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.
Dandawate A V, Giannakis G B. Nonparametric polyspectral estimators for kth-order (almost) cyclostationary processes. IEEE Trans. on Information Theory, 1994, IT-40(1): 67-84.[2]毛用才,保铮.复循环平稳信号的非参数谱估计.电子科学学刊,1996, 18(6): 574-581.[3]Brillinger D R, Rosenblatt M. Asymptotic theory of estimates of kth-order spectra, in Harris B, Ed.: Spectral Analysis of Time Series. New York: Wiley, 1967, 153-188.
DownLoad: