Modern Spectrum Analysis of Time Series: Fast Algorithms and Error Control Techniques (Hardback)Prabhakar S. Naidu (author)
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The text begins with elements of probability theory and goes on to introduce the theory of stationary stochastic processes. The depth of coverage is extensive. Many topics of concern to spectral characterization of Gaussian and non-Gaussian time series, scalar and vector time series are covered. A section is devoted to the emerging areas of non-stationary and cyclostationary time series.
The book is organized more as a textbook than a reference book. Each chapter includes many examples to illustrate the concepts described. Several exercises are included at the end of each chapter. The level is appropriate for graduate and research students.
Publisher: Taylor & Francis Inc
Number of pages: 416
Weight: 907 g
Dimensions: 254 x 178 x 28 mm
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