To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results. The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications. Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discretetime models; realtime filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction.
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Book Description Academic Press. PAPERBACK. Book Condition: New. 0124192513 New Condition. Bookseller Inventory # NEW4.0041542
Book Description Academic Press, 1995. Paperback. Book Condition: New. Bookseller Inventory # DADAX0124192513
Book Description Academic Press, 1995. Paperback. Book Condition: New. book. Bookseller Inventory # 0124192513
Book Description Academic Press, 1995. Paperback. Book Condition: Brand New. 366 pages. 9.00x6.25x0.75 inches. In Stock. Bookseller Inventory # zk0124192513
Book Description Academic Press, 1995. Paperback. Book Condition: New. Bookseller Inventory # P110124192513
Book Description Book Condition: Brand New. Book Condition: Brand New. Bookseller Inventory # 97801241925151.0