Periodically correlated random sequences : Spectral theory and practice
The use of periodically correlated (or cyclostationary) processes has become increasingly popular in a range of research areas such as meteorology, climate, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through...
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| Yazar: | |
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| Materyal Türü: | Kitap |
| Dil: | Undetermined |
| Baskı/Yayın Bilgisi: |
Hoboken, N.J.
Wiley-Interscience
2007
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| Konular: | |
| Etiketler: |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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| LEADER | 01471nam a2200217Ia 4500 | ||
|---|---|---|---|
| 001 | CTU_164635 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 020 | |c 128.00 | ||
| 082 | |a 515.24 | ||
| 082 | |b H961 | ||
| 100 | |a Hurd, Harry L. | ||
| 245 | 0 | |a Periodically correlated random sequences : | |
| 245 | 0 | |b Spectral theory and practice | |
| 245 | 0 | |c Harry L. Hurd, Abolghassem Miamee | |
| 260 | |a Hoboken, N.J. | ||
| 260 | |b Wiley-Interscience | ||
| 260 | |c 2007 | ||
| 520 | |a The use of periodically correlated (or cyclostationary) processes has become increasingly popular in a range of research areas such as meteorology, climate, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through the use of basic definitions along with motivating, insightful, and illustrative examples. Extensive coverage of key concepts is provided, including second-order theory, Hilbert spaces, Fourier theory, and the spectral theory of harmonizable sequences. The authors also provide a paradigm for nonparametric time series analysis including tests for the presence of PC structures. | ||
| 650 | |a Spectral theory (Mathematics),Sequences (Mathematics),Correlation (Statistics),Stochastic processes,Lý thuyết Quang phổ,Chuỗi ( toán học ),Tương quan ( thống kê ),Quy trình Stochastic | ||
| 904 | |i Qhieu | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||