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Modern Spectrum Analysis of Time Series Fast Algorithms and Error Control Techniques Hardcover - 1995
by Prabhakar S. Naidu
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An observed signal, presumed to be sampled or intrinsically discrete (e.g., rainfall time series), is treated as a stochastic process which, if Gaussian, may be characterized within the framework of second order statistics, namely, covariance function or spectrum density function.
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- Title Modern Spectrum Analysis of Time Series Fast Algorithms and Error Control Techniques
- Author Prabhakar S. Naidu
- Binding Hardcover
- Edition 2nd
- Pages 416
- Language ENG
- Publisher CRC, Boca Raton, FL.
- Date October 25, 1995
- ISBN 9780849324642
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MODERN SPECTRUM ANALYSIS OF TIME SERIES - FAST ALGORITHMS AND ERROR CONTROL TECHNIQUES
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MODERN SPECTRUM ANALYSIS OF TIME SERIES - FAST ALGORITHMS AND ERROR CONTROL TECHNIQUES
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Modern Spectrum Analysis of Time Series
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Modern Spectrum Analysis of Time Series
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Boca Raton, FL.: CRC Press, 1996. Comprehensive text emphasizes the time series models and their impact on spectrum analysis. Includes detailed coverage of the elements of probability theory; theory of stationary stochastic processes; spectral characterization of Gaussian and non-Gaussian time series; scalar and vector time series; non-stationary and cyclostationary time series; spectrum estimation; etc. 399 pgs. Illustrated. . First Edition. Hard Cover. Fine. 4to - over 9¾" - 12" tall.
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Modern Spectrum Analysis of Time Series - Fast Algorithms and Error Control Techniques
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Modern Spectrum Analysis of Time Series - Fast Algorithms and Error Control Techniques
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Modern Spectrum Analysis Of Time Series
by Naidu Prabhakar S.
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United Kingdom: CRC Press, 1996. Hardbound. Brand New. Book Condition:- Brand New. Secured Packaging. Fast DeliveryBookseller Inventory # 9780849324642
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