Fundamentals of Statistical Signal Processing: Estimation Theory v. 1 (Prentice Hall Signal Processing Series)

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9780133457117: Fundamentals of Statistical Signal Processing: Estimation Theory v. 1 (Prentice Hall Signal Processing Series)

For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals — radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc.

A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms.

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A unified presentation of parameter estimation for those involved in the design and implementati....

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For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples. Special features include over 230 problems designed to reinforce basic concepts and to derive additional results; summary chapter containing an overview of all principal methods and the rationale for choosing a particular one; unified treatment of Wiener and Kalman filtering; estimation approaches for complex data and parameters; and over 100 examples, including real-world applications to high resolution spectral analysis, system identification, digital filter design, adaptive noise cancelation, adaptive beamforming, tracking and localization, and more. Students as well as practicing engineers will find Fundamentals of Statistical Signal Processing an invaluable introduction to parameter estimation theory and a convenient reference for the design of successful parameter estimation algorithms.

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Book Description Pearson Education (US), United States, 1993. Hardback. Book Condition: New. US ed. 234 x 188 mm. Language: English . Brand New Book. For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals - radar engineer, sonar engineer, geophysicist, oceanographer, biomedical engineer, communications engineer, economist, statistician, physicist, etc. A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Bookseller Inventory # AAC9780133457117

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Book Description Prentice Hall. Hardcover. Book Condition: New. 0133457117 BRAND NEW W/FAST SHIPPING! This item is: Fundamentals of Statistical Processing, Volume I: Estimation Theory, 1st Ed., 1993, by Kay, Steven M.; FORMAT: Hardcover; ISBN: 9780133457117. Choose Expedited for fastest shipping! Our 98%+ rating proves our commitment! We cannot ship to PO Boxes/APO address. To avoid ordering the wrong item, please check your item's ISBN number!. Bookseller Inventory # P9780133457117

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