Introduction To Statistical Signal Processing With Applications

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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.

Introduction to Statistical Signal Processing with Applications

Author : Mandyam Dhati Srinath
Publisher :
ISBN 13 : 9780131252950
Total Pages : 450 pages
Book Rating : 4.2/5 (529 download)

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Book Synopsis Introduction to Statistical Signal Processing with Applications by : Mandyam Dhati Srinath

Download or read book Introduction to Statistical Signal Processing with Applications written by Mandyam Dhati Srinath and published by . This book was released on 1996 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Statistical Signal Processing with Applications covers basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications. The book presents both detection and estimation in a clear, concise fashion and reflects recent developments and shifting emphases in the field.

An Introduction to Statistical Signal Processing with Applications

Author : Mandyam Dhati Srinath
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis An Introduction to Statistical Signal Processing with Applications by : Mandyam Dhati Srinath

Download or read book An Introduction to Statistical Signal Processing with Applications written by Mandyam Dhati Srinath and published by John Wiley & Sons. This book was released on 1979 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: In An Introduction to Statistical Signal Processing with Applications, these three author/educators cover basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications.

Introduction to Applied Statistical Signal Analysis

Author : Richard Shiavi
Publisher : Elsevier
ISBN 13 : 0080467687
Total Pages : 424 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Introduction to Applied Statistical Signal Analysis by : Richard Shiavi

Download or read book Introduction to Applied Statistical Signal Analysis written by Richard Shiavi and published by Elsevier. This book was released on 2010-07-19 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Topics presented include mathematical bases, requirements for estimation, and detailed quantitative examples for implementing techniques for classical signal analysis. This book includes over one hundred worked problems and real world applications. Many of the examples and exercises use measured signals, most of which are from the biomedical domain. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically. Includes over one hundred worked problems and real world applications. Many of the examples and exercises in the book use measured signals, many from the biomedical domain.

Introduction To Statistical Signal Processing With Applications,1/e

Author : Mandyam Dhati Srinath
Publisher :
ISBN 13 : 9788129700957
Total Pages : 499 pages
Book Rating : 4.7/5 (9 download)

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Book Synopsis Introduction To Statistical Signal Processing With Applications,1/e by : Mandyam Dhati Srinath

Download or read book Introduction To Statistical Signal Processing With Applications,1/e written by Mandyam Dhati Srinath and published by . This book was released on 1979 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Statistical Signal Processing with Applications

Author : Mandyam D. Srinath
Publisher :
ISBN 13 : 9788120314719
Total Pages : 450 pages
Book Rating : 4.3/5 (147 download)

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Book Synopsis Introduction to Statistical Signal Processing with Applications by : Mandyam D. Srinath

Download or read book Introduction to Statistical Signal Processing with Applications written by Mandyam D. Srinath and published by . This book was released on 1999 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Statistical Signal Processing for Neuroscience and Neurotechnology

Author : Karim G. Oweiss
Publisher : Academic Press
ISBN 13 : 9780080962962
Total Pages : 433 pages
Book Rating : 4.9/5 (629 download)

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Book Synopsis Statistical Signal Processing for Neuroscience and Neurotechnology by : Karim G. Oweiss

Download or read book Statistical Signal Processing for Neuroscience and Neurotechnology written by Karim G. Oweiss and published by Academic Press. This book was released on 2010-09-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems. Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience. A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems

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.

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.

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.

Statistical Signal Processing of Complex-Valued Data

Author : Peter J. Schreier
Publisher : Cambridge University Press
ISBN 13 : 1139487620
Total Pages : 331 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Statistical Signal Processing of Complex-Valued Data by : Peter J. Schreier

Download or read book Statistical Signal Processing of Complex-Valued Data written by Peter J. Schreier and published by Cambridge University Press. This book was released on 2010-02-04 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their statistical behavior are often a poor representation of the underlying physics. This book deals with improper and noncircular complex signals, which do not conform to classical assumptions, and it demonstrates how correct treatment of these signals can have significant payoffs. The book begins with detailed coverage of the fundamental theory and presents a variety of tools and algorithms for dealing with improper and noncircular signals. It provides a comprehensive account of the main applications, covering detection, estimation, and signal analysis of stationary, nonstationary, and cyclostationary processes. Providing a systematic development from the origin of complex signals to their probabilistic description makes the theory accessible to newcomers. This book is ideal for graduate students and researchers working with complex data in a range of research areas from communications to oceanography.

Statistical Signal Processing

Author : Swagata Nandi
Publisher : Springer Nature
ISBN 13 : 9811562806
Total Pages : 265 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Statistical Signal Processing by : Swagata Nandi

Download or read book Statistical Signal Processing written by Swagata Nandi and published by Springer Nature. This book was released on 2020-08-21 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.

Academic Press Library in Signal Processing

Author :
Publisher : Academic Press
ISBN 13 : 0124116213
Total Pages : 1012 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Academic Press Library in Signal Processing by :

Download or read book Academic Press Library in Signal Processing written by and published by Academic Press. This book was released on 2013-08-31 with total page 1012 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

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.

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.

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.