An Introduction To Statistical Signal Processing

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An Introduction to Statistical Signal Processing

Robert M. Gray,Lee D. Davisson
An Introduction to Statistical Signal Processing Book PDF

Author : Robert M. Gray,Lee D. Davisson
Publisher : Cambridge University Press
Page : 479 pages
File Size : 48,5 Mb
Release : 2004-12-02
Category : Technology & Engineering
ISBN : 9781139456289

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An Introduction to Statistical Signal Processing by Robert M. Gray,Lee D. Davisson Pdf

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 Applied Statistical Signal Analysis

Richard Shiavi
Introduction to Applied Statistical Signal Analysis Book PDF

Author : Richard Shiavi
Publisher : Elsevier
Page : 424 pages
File Size : 53,6 Mb
Release : 2010-07-19
Category : Technology & Engineering
ISBN : 9780080467689

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Introduction to Applied Statistical Signal Analysis by Richard Shiavi Pdf

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

Mandyam Dhati Srinath,P. K. Rajasekaran,Ramanarayanan Viswanathan
Introduction to Statistical Signal Processing with Applications Book PDF

Author : Mandyam Dhati Srinath,P. K. Rajasekaran,Ramanarayanan Viswanathan
Publisher : Unknown
Page : 450 pages
File Size : 50,7 Mb
Release : 1996
Category : Technology & Engineering
ISBN : 013125295X

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Introduction to Statistical Signal Processing with Applications by Mandyam Dhati Srinath,P. K. Rajasekaran,Ramanarayanan Viswanathan Pdf

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.

Fundamentals of Statistical Signal Processing: Detection theory

Steven M. Kay
Fundamentals of Statistical Signal Processing Detection theory Book PDF

Author : Steven M. Kay
Publisher : Pearson
Page : 584 pages
File Size : 50,8 Mb
Release : 1998
Category : Technology & Engineering
ISBN : UCSD:31822033511445

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

V.2 Detection theory -- V.1 Estimation theory.

Statistical Signal Processing

Swagata Nandi,Debasis Kundu
Statistical Signal Processing Book PDF

Author : Swagata Nandi,Debasis Kundu
Publisher : Springer Nature
Page : 265 pages
File Size : 43,5 Mb
Release : 2020-08-21
Category : Computers
ISBN : 9789811562808

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Statistical Signal Processing by Swagata Nandi,Debasis Kundu Pdf

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.

Statistical Signal Processing

T. Chonavel
Statistical Signal Processing Book PDF

Author : T. Chonavel
Publisher : Springer Science & Business Media
Page : 334 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447101390

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Statistical Signal Processing by T. Chonavel Pdf

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.

Digital and Statistical Signal Processing

Anastasia Veloni,Nikolaos Miridakis,Erysso Boukouvala
Digital and Statistical Signal Processing Book PDF

Author : Anastasia Veloni,Nikolaos Miridakis,Erysso Boukouvala
Publisher : CRC Press
Page : 377 pages
File Size : 51,6 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9780429017575

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Digital and Statistical Signal Processing by Anastasia Veloni,Nikolaos Miridakis,Erysso Boukouvala Pdf

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.

An Introduction to Statistical Signal Processing with Applications

Mandyam Dhati Srinath,P. K. Rajasekaran
An Introduction to Statistical Signal Processing with Applications Book PDF

Author : Mandyam Dhati Srinath,P. K. Rajasekaran
Publisher : John Wiley & Sons
Page : 522 pages
File Size : 43,5 Mb
Release : 1979
Category : Technology & Engineering
ISBN : STANFORD:36105038763988

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An Introduction to Statistical Signal Processing with Applications by Mandyam Dhati Srinath,P. K. Rajasekaran Pdf

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.

Statistical Signal Processing for Neuroscience and Neurotechnology

Karim G. Oweiss
Statistical Signal Processing for Neuroscience and Neurotechnology Book PDF

Author : Karim G. Oweiss
Publisher : Academic Press
Page : 433 pages
File Size : 40,6 Mb
Release : 2010-09-22
Category : Science
ISBN : 0080962963

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Statistical Signal Processing for Neuroscience and Neurotechnology by Karim G. Oweiss Pdf

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

Statistical Signal Processing of Complex-Valued Data

Peter J. Schreier,Louis L. Scharf
Statistical Signal Processing of Complex Valued Data Book PDF

Author : Peter J. Schreier,Louis L. Scharf
Publisher : Cambridge University Press
Page : 331 pages
File Size : 53,8 Mb
Release : 2010-02-04
Category : Technology & Engineering
ISBN : 9781139487627

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Statistical Signal Processing of Complex-Valued Data by Peter J. Schreier,Louis L. Scharf Pdf

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

Louis L. Scharf,Cédric Demeure
Statistical Signal Processing Book PDF

Author : Louis L. Scharf,Cédric Demeure
Publisher : Prentice Hall
Page : 552 pages
File Size : 53,9 Mb
Release : 1991
Category : Technology & Engineering
ISBN : UOM:39015048228186

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Statistical Signal Processing by Louis L. Scharf,Cédric Demeure Pdf

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.

Statistical Digital Signal Processing and Modeling

Monson H. Hayes
Statistical Digital Signal Processing and Modeling Book PDF

Author : Monson H. Hayes
Publisher : John Wiley & Sons
Page : 629 pages
File Size : 49,9 Mb
Release : 1996-04-19
Category : Technology & Engineering
ISBN : 9780471594314

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Statistical Digital Signal Processing and Modeling by Monson H. Hayes Pdf

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.

Academic Press Library in Signal Processing

Anonim
Academic Press Library in Signal Processing Book PDF

Author : Anonim
Publisher : Academic Press
Page : 1012 pages
File Size : 45,6 Mb
Release : 2013-08-31
Category : Technology & Engineering
ISBN : 9780124116214

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Academic Press Library in Signal Processing by Anonim Pdf

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

Digital Signal Processing and Statistical Classification

George J. Miao,Mark A. Clements
Digital Signal Processing and Statistical Classification Book PDF

Author : George J. Miao,Mark A. Clements
Publisher : Artech House
Page : 522 pages
File Size : 46,8 Mb
Release : 2002
Category : Mathematics
ISBN : 1580531350

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Digital Signal Processing and Statistical Classification by George J. Miao,Mark A. Clements Pdf

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.

Probability, Random Processes, and Statistical Analysis

Hisashi Kobayashi,Brian L. Mark,William Turin
Probability Random Processes and Statistical Analysis Book PDF

Author : Hisashi Kobayashi,Brian L. Mark,William Turin
Publisher : Cambridge University Press
Page : 813 pages
File Size : 40,7 Mb
Release : 2011-12-15
Category : Technology & Engineering
ISBN : 9781139502610

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Probability, Random Processes, and Statistical Analysis by Hisashi Kobayashi,Brian L. Mark,William Turin Pdf

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.