Introduction to Applied Statistical Signal Analysis

Introduction to Applied Statistical Signal Analysis
Author: Richard Shiavi
Publsiher: Elsevier
Total Pages: 424
Release: 2010-07-19
Genre: Technology & Engineering
ISBN: 9780080467689

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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
Author: Richard Shiavi
Publsiher: Unknown
Total Pages: 390
Release: 1999
Genre: Mathematics
ISBN: UOM:39015047480713

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This book provides a balanced perspective of the concept, mathematical bases, requirements for estimation, and detailed quantitative examples of the implementation of the techniques for classical signal analysis. The presentation integrates theory and implementation, practical examples, homework exercises which range from pencil and paper format to computer-based format problems, to instructional notebooks. The notebooks provide a mode of learning that is interactive and suited for self-pacing and independent learning. * "real-world" applications * real data available for exercises and projects * notebooks for interactive learning * graphical explanation of concepts * exercises emphasizing concepts * CD-ROM with MATLAB implementation

An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing
Author: Robert M. Gray,Lee D. Davisson
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2004-12-02
Genre: Technology & Engineering
ISBN: 9781139456289

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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.

Statistical Signal Processing

Statistical Signal Processing
Author: Swagata Nandi,Debasis Kundu
Publsiher: Springer Nature
Total Pages: 265
Release: 2020-08-21
Genre: Computers
ISBN: 9789811562808

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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 for Neuroscience and Neurotechnology

Statistical Signal Processing for Neuroscience and Neurotechnology
Author: Karim G. Oweiss
Publsiher: Academic Press
Total Pages: 433
Release: 2010-09-22
Genre: Science
ISBN: 0080962963

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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

Digital and Statistical Signal Processing

Digital and Statistical Signal Processing
Author: Anastasia Veloni,Nikolaos Miridakis,Erysso Boukouvala
Publsiher: CRC Press
Total Pages: 558
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 9780429017582

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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 of Complex Valued Data

Statistical Signal Processing of Complex Valued Data
Author: Peter J. Schreier,Louis L. Scharf
Publsiher: Cambridge University Press
Total Pages: 135
Release: 2010-02-04
Genre: Technology & Engineering
ISBN: 9781139487627

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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.

Biosignal and Medical Image Processing

Biosignal and Medical Image Processing
Author: John L. Semmlow,Benjamin Griffel
Publsiher: CRC Press
Total Pages: 630
Release: 2021-10-01
Genre: Medical
ISBN: 9781466567375

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Written specifically for biomedical engineers, Biosignal and Medical Image Processing, Third Edition provides a complete set of signal and image processing tools, including diagnostic decision-making tools, and classification methods. Thoroughly revised and updated, it supplies important new material on nonlinear methods for describing and classify

Understanding Digital Signal Processing with MATLAB and Solutions

Understanding Digital Signal Processing with MATLAB   and Solutions
Author: Alexander D. Poularikas
Publsiher: CRC Press
Total Pages: 455
Release: 2017-11-13
Genre: Mathematics
ISBN: 9781351623285

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The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal of the pilot communicating with the ground over the engine noise or a bioengineer listening for a fetus’ heartbeat over the mother’s. The text presents the methods for extracting the desired signals from the noise. Each new development includes examples and exercises that use MATLAB to provide the answer in graphic forms for the reader's comprehension and understanding.

Discrete Random Signal Processing and Filtering Primer with MATLAB

Discrete Random Signal Processing and Filtering Primer with MATLAB
Author: Alexander D. Poularikas
Publsiher: CRC Press
Total Pages: 300
Release: 2018-10-03
Genre: Technology & Engineering
ISBN: 9781420089349

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Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and filtering. Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language. A Practical Self-Tutorial That Transcends Theory The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering. Ideal as a self-tutorial, this book includes numerous examples and functions, which can be used to select parameters, perform simulations, and analyze results. This concise guide encourages readers to use MATLAB functions – and those new ones introduced as Book MATLAB Functions – to substitute many different combinations of parameters, giving them a firm grasp of how much each parameter affects results. Much more than a simple review of theory, this book emphasizes problem solving and result analysis, enabling readers to take a hands-on approach to advance their own understanding of MATLAB and the way it is used within signal processing and filtering.

Biological Signal Analysis

Biological Signal Analysis
Author: Anonim
Publsiher: Bookboon
Total Pages: 135
Release: 2022
Genre: Electronic Book
ISBN: 9788776815943

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Image Processing for Computer Graphics and Vision

Image Processing for Computer Graphics and Vision
Author: Luiz Velho,Alejandro C. Frery,Jonas Gomes
Publsiher: Springer Science & Business Media
Total Pages: 463
Release: 2009-04-29
Genre: Computers
ISBN: 9781848001930

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Image processing is concerned with the analysis and manipulation of images by computer. Providing a thorough treatment of image processing with an emphasis on those aspects most used in computer graphics, the authors concentrate on describing and analyzing the underlying concepts rather than on presenting algorithms or pseudocode. As befits a modern introduction to this topic, a good balance is struck between discussing the underlying mathematics and the main topics: signal processing, data discretization, the theory of colour and different colour systems, operations in images, dithering and half-toning, warping and morphing and image processing. This second edition reflects recent trends in science andtechnology that exploit image processing in computer graphics and vision applications. Stochastic image models and statistical methods for image processing are covered as are: A modern approach and new developments in the area, Probability theory for image processing, Applications in image analysis and computer vision.

Biosignal Processing

Biosignal Processing
Author: Hualou Liang,Joseph D. Bronzino,Donald R. Peterson
Publsiher: CRC Press
Total Pages: 202
Release: 2012-10-17
Genre: Medical
ISBN: 9781000687224

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With the rise of advanced computerized data collection systems, monitoring devices, and instrumentation technologies, large and complex datasets accrue as an inevitable part of biomedical enterprise. The availability of these massive amounts of data offers unprecedented opportunities to advance our understanding of underlying biological and physiol

Introduction to Statistical Signal Processing with Applications

Introduction to Statistical Signal Processing with Applications
Author: Mandyam Dhati Srinath,P. K. Rajasekaran,Ramanarayanan Viswanathan
Publsiher: Unknown
Total Pages: 450
Release: 1996
Genre: Technology & Engineering
ISBN: 013125295X

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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.

Biomedical Signals Imaging and Informatics

Biomedical Signals  Imaging  and Informatics
Author: Joseph D. Bronzino,Donald R. Peterson
Publsiher: CRC Press
Total Pages: 1468
Release: 2014-12-16
Genre: Medical
ISBN: 9781439825273

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Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering. Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics. More than three dozen specific topics are examined, including biomedical signal acquisition, thermographs, infrared cameras, mammography, computed tomography, positron-emission tomography, magnetic resonance imaging, hospital information systems, and computer-based patient records. The material is presented in a systematic manner and has been updated to reflect the latest applications and research findings.