| 書(shū)目名稱 | Conjugate Duality and the Exponential Fourier Spectrum | | 編輯 | Wray Britton | | 視頻video | http://file.papertrans.cn/236/235559/235559.mp4 | | 叢書(shū)名稱 | Lecture Notes in Statistics | | 圖書(shū)封面 |  | | 描述 | For some fields such as econometrics (Shore, 1980), oil prospecting (Claerbout, 1976), speech recognition (Levinson and Lieberman, 1981), satellite monitoring (Lavergnat et al., 1980), epilepsy diagnosis (Gersch and Tharp, 1977), and plasma physics (Bloomfield, 1976), there is a need to obtain an estimate of the spectral density (when it exists) in order to gain at least a crude understanding of the frequency content of time series data. An outstanding tutorial on the classical problem of spectral density estimation is given by Kay and Marple (1981). For an excellent collection of fundamental papers dealing with modern spec- tral density estimation as well as an extensive bibliography on other fields of application, see Childers (1978). To devise a high-performance sample spectral density estimator, one must develop a rational basis for its construction, provide a feasible algorithm, and demonstrate its performance with respect to prescribed criteria. An algorithm is certainly feasible if it can be implemented on a computer, possesses computational efficiency (as measured by compu- tational complexity analysis), and exhibits numerical stability. An estimator shows high performance | | 出版日期 | Book 1983 | | 關(guān)鍵詞 | Duality; Dualit?t (Math; ); Estimator; Excel; Harmonische Analyse; Sequentialanalyse; Stochastische Approxi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4612-5528-4 | | isbn_softcover | 978-0-387-90826-7 | | isbn_ebook | 978-1-4612-5528-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 | | issn_series | 0930-0325 | | copyright | Springer-Verlag New York Inc. 1983 |
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