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Introduction To Applied Statistical Signal Analysis


Introduction To Applied Statistical Signal Analysis
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Introduction To Applied Statistical Signal Analysis


Introduction To Applied Statistical Signal Analysis
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Author : Richard Shiavi
language : en
Publisher: Elsevier
Release Date : 2010-07-19

Introduction To Applied Statistical Signal Analysis written by Richard Shiavi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-19 with Technology & Engineering categories.


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 Applied Statistical Signal Analysis


Introduction To Applied Statistical Signal Analysis
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Author : Richard Shiavi
language : en
Publisher:
Release Date : 1999

Introduction To Applied Statistical Signal Analysis written by Richard Shiavi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Medical categories.


The enclosed CD-ROM provides a mode of learning that is interactive and suited for self-pacing and independent learning."--BOOK JACKET.



An Introduction To Statistical Signal Processing


An Introduction To Statistical Signal Processing
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Author : Robert M. Gray
language : en
Publisher: Cambridge University Press
Release Date : 2004-12-02

An Introduction To Statistical Signal Processing written by Robert M. Gray and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-12-02 with Technology & Engineering categories.


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.



Algorithms For Statistical Signal Processing


Algorithms For Statistical Signal Processing
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Author : John G. Proakis
language : en
Publisher:
Release Date : 2002

Algorithms For Statistical Signal Processing written by John G. Proakis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Computers categories.


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.



Statistical Signal Processing


Statistical Signal Processing
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Author : Swagata Nandi
language : en
Publisher: Springer
Release Date : 2020-10-16

Statistical Signal Processing written by Swagata Nandi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-16 with Computers categories.


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.



Digital And Statistical Signal Processing


Digital And Statistical Signal Processing
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Author : Anastasia Veloni
language : en
Publisher: CRC Press
Release Date : 2018-10-03

Digital And Statistical Signal Processing written by Anastasia Veloni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.


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.



Probability Random Processes And Statistical Analysis


Probability Random Processes And Statistical Analysis
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Author : Hisashi Kobayashi
language : en
Publisher: Cambridge University Press
Release Date : 2011-12-15

Probability Random Processes And Statistical Analysis written by Hisashi Kobayashi and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-15 with Technology & Engineering categories.


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.



Underwater Acoustic Signal Processing


Underwater Acoustic Signal Processing
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Author : Douglas A. Abraham
language : en
Publisher: Springer
Release Date : 2019-02-14

Underwater Acoustic Signal Processing written by Douglas A. Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-14 with Technology & Engineering categories.


This book provides comprehensive coverage of the detection and processing of signals in underwater acoustics. Background material on active and passive sonar systems, underwater acoustics, and statistical signal processing makes the book a self-contained and valuable resource for graduate students, researchers, and active practitioners alike. Signal detection topics span a range of common signal types including signals of known form such as active sonar or communications signals; signals of unknown form, including passive sonar and narrowband signals; and transient signals such as marine mammal vocalizations. This text, along with its companion volume on beamforming, provides a thorough treatment of underwater acoustic signal processing that speaks to its author’s broad experience in the field.



Measuring Psychological Responses To Media Messages


Measuring Psychological Responses To Media Messages
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Author : Annie Lang
language : en
Publisher: Routledge
Release Date : 2014-04-08

Measuring Psychological Responses To Media Messages written by Annie Lang and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-08 with Language Arts & Disciplines categories.


Characterized by its multi-level interdisciplinary character, communication has become a variable field -- one in which the level of analysis varies. This has had important ramifications for the study of communication because, to some extent, the questions one asks are determined by the methods one has available to answer them. As a result, communication research is characterized by the plethora of both qualitative and quantitative approaches used by its practitioners. These include survey and experimental methods, and content, historical, and rhetorical analyses. A variety of tools has been developed in cognitive psychology and psychophysiology which attempts to measure "thinking" without asking people how they do it. This book is devoted to exploring how these methods might be used to further knowledge about the process of communication. The methods chosen have all been used extensively in cognitive and experimental psychology. Each chapter in this book is designed to describe the history of the method being introduced, the theory behind it, how to go about using it, and how it has already been used to study some area of communication. The methods introduced here vary widely in terms of the amount of equipment and training needed to use them. Some require only theoretical knowledge and a paper and pencil; others require more elaborate hardware and software for implementation. These methods also vary widely in terms of what sorts of variables they can be used to measure. Some of them adapt quite readily to traditional communication variables like persuasion, attitude change, and knowledge; others are more applicable to process type variables such as attention, arousal, involvement, encoding, and retrieval.



Inverse Engineering Handbook


Inverse Engineering Handbook
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Author : Keith A. Woodbury
language : en
Publisher: CRC Press
Release Date : 2002-09-25

Inverse Engineering Handbook written by Keith A. Woodbury and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-25 with Mathematics categories.


Inverse problems have been the focus of a growing number of research efforts over the last 40 years-and rightly so. The ability to determine a "cause" from an observed "effect" is a powerful one. Researchers now have at their disposal a variety of techniques for solving inverse problems, techniques that go well beyond those useful for relatively si