Fundamentals Of Statistical Signal Processing

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Fundamentals of Statistical Signal Processing

Author : Steven M. Kay
Publisher : Pearson Education
ISBN 13 : 013280803X
Total Pages : 496 pages
Book Rating : 4.1/5 (328 download)

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Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by Pearson Education. This book was released on 2013 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Fundamentals of Statistical Signal Processing: Detection theory

Author : Steven M. Kay
Publisher : Pearson
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Fundamentals of Statistical Signal Processing: Detection theory by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing: Detection theory written by Steven M. Kay and published by Pearson. This book was released on 1998 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: V.2 Detection theory -- V.1 Estimation theory.

Fundamentals of Statistical Signal Processing

Author : Steven M. Kay
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (778 download)

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Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay

Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Statistical Signal Processing

Author : Robert M. Gray
Publisher : Cambridge University Press
ISBN 13 : 1139456288
Total Pages : 479 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis An Introduction to Statistical Signal Processing by : Robert M. Gray

Download or read book An Introduction to Statistical Signal Processing written by Robert M. Gray and published by Cambridge University Press. This book was released on 2004-12-02 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Optimal Combining and Detection

Author : Jinho Choi
Publisher : Cambridge University Press
ISBN 13 : 1139486330
Total Pages : 349 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Optimal Combining and Detection by : Jinho Choi

Download or read book Optimal Combining and Detection written by Jinho Choi and published by Cambridge University Press. This book was released on 2010-01-28 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: With signal combining and detection methods now representing a key application of signal processing in communication systems, this book provides a range of key techniques for receiver design when multiple received signals are available. Various optimal and suboptimal signal combining and detection techniques are explained in the context of multiple-input multiple-output (MIMO) systems, including successive interference cancellation (SIC) based detection and lattice reduction (LR) aided detection. The techniques are then analyzed using performance analysis tools. The fundamentals of statistical signal processing are also covered, with two chapters dedicated to important background material. With a carefully balanced blend of theoretical elements and applications, this book is ideal for both graduate students and practising engineers in wireless communications.

Fundamentals of Statistical Signal Processing

Author : Steven M. Kay (Statistiek)
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (915 download)

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Book Synopsis Fundamentals of Statistical Signal Processing by : Steven M. Kay (Statistiek)

Download or read book Fundamentals of Statistical Signal Processing written by Steven M. Kay (Statistiek) and published by . This book was released on 1993 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistical Signal Processing

Author : T. Chonavel
Publisher : Springer Science & Business Media
ISBN 13 : 1447101391
Total Pages : 334 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Statistical Signal Processing by : T. Chonavel

Download or read book Statistical Signal Processing written by T. Chonavel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only book on the subject at this level, this is a well written formalised and concise presentation of the basis of statistical signal processing. It teaches a wide variety of techniques, demonstrating how they can be applied to many different situations.

Fundamentals of Statistical Signal Processing, Volume 1: Estimation Theory

Author : Kay
Publisher : Pearson Education India
ISBN 13 : 9788131728994
Total Pages : 612 pages
Book Rating : 4.7/5 (289 download)

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Book Synopsis Fundamentals of Statistical Signal Processing, Volume 1: Estimation Theory by : Kay

Download or read book Fundamentals of Statistical Signal Processing, Volume 1: Estimation Theory written by Kay and published by Pearson Education India. This book was released on with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms for Statistical Signal Processing

Author : John G. Proakis
Publisher :
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Algorithms for Statistical Signal Processing by : John G. Proakis

Download or read book Algorithms for Statistical Signal Processing written by John G. Proakis and published by . This book was released on 2002 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Keeping pace with the expanding, ever more complex applications of DSP, this authoritative presentation of computational algorithms for statistical signal processing focuses on "advanced topics" ignored by other books on the subject. Algorithms for Convolution and DFT. Linear Prediction and Optimum Linear Filters. Least-Squares Methods for System Modeling and Filter Design. Adaptive Filters. Recursive Least-Squares Algorithms for Array Signal Processing. QRD-Based Fast Adaptive Filter Algorithms. Power Spectrum Estimation. Signal Analysis with Higher-Order Spectra. For Electrical Engineers, Computer Engineers, Computer Scientists, and Applied Mathematicians.

Digital and Statistical Signal Processing

Author : Anastasia Veloni
Publisher : CRC Press
ISBN 13 : 042901757X
Total Pages : 377 pages
Book Rating : 4.4/5 (29 download)

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Book Synopsis Digital and Statistical Signal Processing by : Anastasia Veloni

Download or read book Digital and Statistical Signal Processing written by Anastasia Veloni and published by CRC Press. This book was released on 2018-10-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nowadays, many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals, using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory, analytical tables, and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book, so the reader can solve practical problems on signal processing quickly and efficiently. FEATURES Explains how applications of DSP can be implemented in certain programming environments designed for real time systems, ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues.

Digital Signal Processing and Statistical Classification

Author : George J. Miao
Publisher : Artech House
ISBN 13 : 9781580531351
Total Pages : 522 pages
Book Rating : 4.5/5 (313 download)

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Book Synopsis Digital Signal Processing and Statistical Classification by : George J. Miao

Download or read book Digital Signal Processing and Statistical Classification written by George J. Miao and published by Artech House. This book was released on 2002 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to introduce and integrate advanced digital signal processing (DSP) and classification together, and the only volume to introduce state-of-the-art transforms including DFT, FFT, DCT, DHT, PCT, CDT, and ODT together for DSP and communication applications. You get step-by-step guidance in discrete-time domain signal processing and frequency domain signal analysis; digital filter design and adaptive filtering; multirate digital processing; and statistical signal classification. It also helps you overcome problems associated with multirate A/D and D/A converters.

An Introduction to Signal Detection and Estimation

Author : H. Vincent Poor
Publisher : Springer Science & Business Media
ISBN 13 : 1475738633
Total Pages : 558 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis An Introduction to Signal Detection and Estimation by : H. Vincent Poor

Download or read book An Introduction to Signal Detection and Estimation written by H. Vincent Poor and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to introduce the reader to the basic theory of signal detection and estimation. It is assumed that the reader has a working knowledge of applied probabil ity and random processes such as that taught in a typical first-semester graduate engineering course on these subjects. This material is covered, for example, in the book by Wong (1983) in this series. More advanced concepts in these areas are introduced where needed, primarily in Chapters VI and VII, where continuous-time problems are treated. This book is adapted from a one-semester, second-tier graduate course taught at the University of Illinois. However, this material can also be used for a shorter or first-tier course by restricting coverage to Chapters I through V, which for the most part can be read with a background of only the basics of applied probability, including random vectors and conditional expectations. Sufficient background for the latter option is given for exam pIe in the book by Thomas (1986), also in this series.

Probability, Random Processes, and Statistical Analysis

Author : Hisashi Kobayashi
Publisher : Cambridge University Press
ISBN 13 : 1139502611
Total Pages : 813 pages
Book Rating : 4.1/5 (395 download)

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Book Synopsis Probability, Random Processes, and Statistical Analysis by : Hisashi Kobayashi

Download or read book Probability, Random Processes, and Statistical Analysis written by Hisashi Kobayashi and published by Cambridge University Press. This book was released on 2011-12-15 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Itô process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and Baum–Welch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals.

Statistical and Adaptive Signal Processing

Author : Dimitris G. Manolakis
Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Statistical and Adaptive Signal Processing by : Dimitris G. Manolakis

Download or read book Statistical and Adaptive Signal Processing written by Dimitris G. Manolakis and published by Artech House Publishers. This book was released on 2005 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.

Fundamentals Of Statistical Processing, Volume 2: Detection Theory

Author : Steven M. Kay
Publisher : Pearson Education India
ISBN 13 : 9788131729007
Total Pages : 672 pages
Book Rating : 4.7/5 (29 download)

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Book Synopsis Fundamentals Of Statistical Processing, Volume 2: Detection Theory by : Steven M. Kay

Download or read book Fundamentals Of Statistical Processing, Volume 2: Detection Theory written by Steven M. Kay and published by Pearson Education India. This book was released on 2009-09 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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. Authoer Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.

Array Signal Processing

Author : Don H. Johnson
Publisher : Pearson
ISBN 13 :
Total Pages : 558 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Array Signal Processing by : Don H. Johnson

Download or read book Array Signal Processing written by Don H. Johnson and published by Pearson. This book was released on 1993 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book on the market to bring together material on array signal processing in a coherent fashion, with uniform notation and convention of models. KEY TOPICS: Using extensive examples and problems, it presents not only the theories of propagating waves and conventional array processing algorithms, but also the underlying ideas of adaptive array processing and multi-array tracking algorithms. This manual will be valuable to engineers who wish to practice and advance their careers in the array signal processing field.

Statistical Digital Signal Processing and Modeling

Author : Monson H. Hayes
Publisher : John Wiley & Sons
ISBN 13 : 0471594318
Total Pages : 629 pages
Book Rating : 4.4/5 (715 download)

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Book Synopsis Statistical Digital Signal Processing and Modeling by : Monson H. Hayes

Download or read book Statistical Digital Signal Processing and Modeling written by Monson H. Hayes and published by John Wiley & Sons. This book was released on 1996-04-19 with total page 629 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.