Verlag: Wiley-Interscience (edition 1), 2012
ISBN 10: 0470242094 ISBN 13: 9780470242094
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 89,55
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In den WarenkorbHardcover. Zustand: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Verlag: Wiley-Interscience (edition 1), 2012
ISBN 10: 0470242094 ISBN 13: 9780470242094
Sprache: Englisch
Anbieter: BooksRun, Philadelphia, PA, USA
EUR 89,55
Währung umrechnenAnzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Anbieter: ThriftBooks-Dallas, Dallas, TX, USA
EUR 92,46
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In den WarenkorbHardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 3.43.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 155,96
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In den WarenkorbZustand: New. In.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 177,11
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In den WarenkorbZustand: New. pp. xxvi + 768 Illus.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 192,73
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 794 pages. 9.75x7.75x1.75 inches. In Stock.
EUR 218,59
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In den WarenkorbZustand: New. Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. Num Pages: 794 pages, Illustrations. BIC Classification: PBT; TBJ. Category: (P) Professional & Vocational. Dimension: 258 x 194 x 46. Weight in Grams: 1646. . 2012. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 180,20
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In den WarenkorbBuch. Zustand: Neu. Neuware - Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more rigorous mathematical framework than is usually encountered in undergraduate courses. It is intended for first-year graduate students who have some familiarity with probability and random variables, though not necessarily of random processes and systems that operate on random signals. It is also appropriate for advanced undergraduate students who have a strong mathematical background.The book has the following features:\* Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. One appendix contains an extensive summary of 33 random variables and their properties such as moments, characteristic functions, and entropy.\* Unlike most books on probability, numerous figures have been included to clarify and expand upon important points. Over 600 illustrations and MATLAB plots have been designed to reinforce the material and illustrate the various characterizations and properties of random quantities.\* Sufficient statistics are covered in detail, as is their connection to parameter estimation techniques. These include classical Bayesian estimation and several optimality criteria: mean-square error, mean-absolute error, maximum likelihood, method of moments, and least squares.\* The last four chapters provide an introduction to several topics usually studied in subsequent engineering courses: communication systems and information theory; optimal filtering (Wiener and Kalman); adaptive filtering (FIR and IIR); and antenna beamforming, channel equalization, and direction finding. This material is available electronically at the companion website.Probability, Random Variables, and Random Processes is the only textbook on probability for engineers that includes relevant background material, provides extensive summaries of key results, and extends various statistical techniques to a range of applications in signal processing.