[PDF] Signal Processing Workshop On Higher Order Statistics June 7 9 1993 Stanford Sierra Group South Lake Tahoe Ca Usa eBook

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Higher-Order Statistical Signal Processing

Author : Boualem Boashash
Publisher : *Halsted Press
Page : 560 pages
File Size : 26,62 MB
Release : 1995
Category : Technology & Engineering
ISBN :

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Higher-Order Statistical Signal Processing brings together some most recent innovations in the field of higher-order statistical signal processing. It is structured to provide a comprehensive understanding of the fundamentals of the discipline, as well as a treatment of recent advances.

Higher Order Statistics

Author : Jean-Louis Lacoume
Publisher :
Page : 352 pages
File Size : 40,29 MB
Release : 1992
Category : Order statistics
ISBN : 9780444896544

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This volume presents the latest concepts in higher-order statistics and discusses their applications in signal processing problems. The 7 tutorial lectures and 72 contributed papers review topics ranging from the structure of HO spectra of Gaussian signals to Hilbert spaces of non linear filters, giving some very compact solutions to various problems of detection and estimation. Containing contributions by some of the world's leading experts in the field, the work will be the definitive reference source for anyone interested in the latest advances and results of current experimental research in high order statistics.

Academic Press Library in Signal Processing

Author : Mats Viberg
Publisher : Academic Press
Page : 1013 pages
File Size : 49,15 MB
Release : 2013-08-31
Category : Technology & Engineering
ISBN : 0124116213

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This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and statistical signal processing. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its application Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing Presents core principles and shows their application Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic

Fundamentals of Statistical Signal Processing

Author : Steven M. Kay
Publisher : Pearson Education
Page : 496 pages
File Size : 14,97 MB
Release : 2013
Category : Technology & Engineering
ISBN : 013280803X

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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."--Cover, volume 1.

An Introduction to Statistical Signal Processing

Author : Robert M. Gray
Publisher : Cambridge University Press
Page : 479 pages
File Size : 19,46 MB
Release : 2004-12-02
Category : Technology & Engineering
ISBN : 1139456288

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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.