Sprache: Englisch
Verlag: Wiley & Sons, Incorporated, John, 1991
ISBN 10: 0471815551 ISBN 13: 9780471815556
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In.
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In den WarenkorbZustand: New. pp. 688.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.R.
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In den WarenkorbPaperback. Zustand: Brand New. 680 pages. 9.75x6.50x1.50 inches. In Stock.
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In den WarenkorbZustand: New. This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation. Num Pages: 688 pages, Ill. BIC Classification: UYS; UYT. Category: (UU) Undergraduate. Dimension: 233 x 161 x 37. Weight in Grams: 960. . 1988. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamentals and examples of random process models, (2) applications of probabilistic models: signal detection, and filtering, and (3) statistical estimation--measurement and analysis of random data to determine the structure and parameter values of probabilistic models. This volume by Breipohl and Shanmugan offers the only one-volume treatment of the fundamentals of random process models, their applications, and data analysis.