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Woyczynski, Wojbor A

A First Course in Statistics for Signal Analysis (Kartoniert / Broschiert / Paperback)

Springer-Verlag GmbH, Birkhäuser Boston, November 2010

2nd edition - 286 S. - Sprache: Englisch - 76 schwarz-weiße Abbildungen, 2 schwarz-weiße Tabellen - 243x166x23 mm

ISBN: 0817681000 EAN: 9780817681005

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.

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Many redrawn figures in the new edition to better illustrate the scale of the quantities representedRevised notation and terminology to better reflect the concepts under discussionConsiderably expanded sections with new examples, illustrations, and commentaryAddition of more applied exercisesA large appendix containing solutions of selected problems


Foreword to the Second Edition.- Introduction.- Notation.- Description of Signals.- Spectral Representation of Deterministic Signals: Fourier Series and Transforms.- Random Quantities and Random Vectors.- Stationary Signals.- Power Spectra of Random Signals.- Transmission of Stationary Signals through Linear Systems.- Optimization of Signal-to-Noise Ratio in Linear Systems.- Gaussian Signals, Covariance Matrices, and Sample Path Properties.- Spectral Representation of Discrete-Time Stationary Signals and Their Computer Simulations.- Solutions to Selected Exercises.- Bibliographical Comments.- Index.

Über den Autor

Wojbor A. Woyczynski is a Professor in the Department of Statistics and the Director of the Center for Stochastic and Chaotic Processes in Science and Technology at Case Western Reserve University. His research interests include: probability theory, Lévy stochastic processes, random fields and their statistics, nonlinear, stochastic and fractional evolution equations, harmonic and functional analysis, random graphs, statistical physics and hydrodynamics, chaotic dynamics, applications to chemistry, physics, operations research, financial mathematics, medicine, oceanography, and atmospheric physics. Professor Woyczynski is the author of 11 books and many papers in a wide range of international research journals.


'A First Course in Statistics for Signal Analysis' is a small, dense, and inexpensive book that covers exactly what the title says: statistics for signal analysis. The book has much to recommend it. The author clearly understands the topics presented. The topics are covered in a rigorous manner, but not so rigorous as to be ostentatious. The sequence of topics is clearly targeted at the spectral properties of Gaussian stationary signals. Any student studying traditional communications and signal processing would benefit from an understanding of these topics...In summary, [the work] has much in its favor...This book is most appropriate for a graduate class in signal analysis. It also could be used as a secondary text in a statistics, signal processing, or communications class. -JASA (Review of the First Edition) From the reviews of the second edition: "This is nicely written self-contained book and it is a good candidate for adoption as a textbook for upper-level undergraduate and even for a graduate course for engineering and physical sciences students. ... One of the nicest features of this book is the bibliographical comments given before the index, providing comprehensive developments of the material in chronological order. In summary, it is well-written and, most importantly, a well-priced book. I have no hesitation in recommending it as a textbook for the targeted course and audience." (Technometrics, Vol. 53 (4), November, 2011)

ISBN 0-817681-00-0, ISBN 0-81-768100-0, ISBN 0-81768-100-0, ISBN 0-817-68100-0, ISBN 0-8176-8100-0

ISBN 978-0-817681-00-5, ISBN 978-0-81-768100-5, ISBN 978-0-81768-100-5, ISBN 978-0-817-68100-5, ISBN 978-0-8176-8100-5

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