Theory of Multirate Statistical Signal Processing [microform]
Author: Omid S. (Omid Siuof) Jahromi
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Published: 2002
Total Pages: 366
ISBN-13: 9780612746367
DOWNLOAD EBOOK →Author: Omid S. (Omid Siuof) Jahromi
Publisher: National Library of Canada = Bibliothèque nationale du Canada
Published: 2002
Total Pages: 366
ISBN-13: 9780612746367
DOWNLOAD EBOOK →Author: Omid S. Jahromi
Publisher: Springer Science & Business Media
Published: 2007-03-16
Total Pages: 192
ISBN-13:
DOWNLOAD EBOOK →Multirate Statistical Signal Processing introduces a statistical theory for extracting information from related signals with different sampling rates. This new theory generalizes the conventional deterministic theory of multirate systems beyond many of its constraints. Further, it allows for the formulation and solution of new problems: spectrum estimation, time-delay estimation and sensor fusion in the realm of multirate signal processing. This self-contained book presents background material, potential applications and leading-edge research.
Author: Robert M. Gray
Publisher: Cambridge University Press
Published: 2004-12-02
Total Pages: 479
ISBN-13: 1139456288
DOWNLOAD EBOOK →This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to specific applications in communications and signal processing using a range of carefully chosen examples. The book begins with a development of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the book. Hundreds of homework problems are included and the book is ideal for graduate students of electrical engineering and applied mathematics. It is also a useful reference for researchers in signal processing and communications.
Author: Peter J. Schreier
Publisher:
Published: 2010
Total Pages: 331
ISBN-13: 9780511678974
DOWNLOAD EBOOK →Author: Milic, Ljiljana
Publisher: IGI Global
Published: 2009-01-31
Total Pages: 414
ISBN-13: 1605661791
DOWNLOAD EBOOK →"This book covers basic and the advanced approaches in the design and implementation of multirate filtering"--Provided by publisher.
Author: Louis L. Scharf
Publisher: Prentice Hall
Published: 1991
Total Pages: 552
ISBN-13:
DOWNLOAD EBOOK →This book embraces the many mathematical procedures that engineers and statisticians use to draw inference from imperfect or incomplete measurements. This book presents the fundamental ideas in statistical signal processing along four distinct lines: mathematical and statistical preliminaries; decision theory; estimation theory; and time series analysis.
Author: Paolo Prandoni
Publisher: Collection Savoir suisse
Published: 2008-06-17
Total Pages: 392
ISBN-13: 2940222207
DOWNLOAD EBOOK →With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The treatment is therefore less focused on the mathematics and more on the conceptual aspects, the idea being to allow the readers to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics. The book remains an engineering text, with the goal of helping students solve real-world problems. In this vein, the last chapter pulls together the individual topics as discussed throughout the book into an in-depth look at the development of an end-to-end communication system, namely, a modem for communicating digital information over an analog channel.
Author: Steven M. Kay
Publisher: Pearson
Published: 2017-11-29
Total Pages: 0
ISBN-13: 9780134878409
DOWNLOAD EBOOK →"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."--Cover, volume 1.
Author: Mandyam Dhati Srinath
Publisher:
Published: 1979
Total Pages: 499
ISBN-13: 9788129700957
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