Applied Signal Processing

Author : Sadasivan Puthusserypady
Publisher : Unknown
Page : 128 pages
File Size : 53,9 Mb
Release : 2021-03-31
Category : Electronic
ISBN : 1680839780

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Applied Signal Processing by Sadasivan Puthusserypady Pdf

Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.

Author : Thierry Dutoit,Ferran Marques
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 43,8 Mb
Release : 2010-06-10
Category : Technology & Engineering
ISBN : 9780387745350

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Applied Signal Processing by Thierry Dutoit,Ferran Marques Pdf

Applied Signal Processing: A MATLAB-Based Proof of Concept benefits readers by including the teaching background of experts in various applied signal processing fields and presenting them in a project-oriented framework. Unlike many other MATLAB-based textbooks which only use MATLAB to illustrate theoretical aspects, this book provides fully commented MATLAB code for working proofs-of-concept. The MATLAB code provided on the accompanying online files is the very heart of the material. In addition each chapter offers a functional introduction to the theory required to understand the code as well as a formatted presentation of the contents and outputs of the MATLAB code. Each chapter exposes how digital signal processing is applied for solving a real engineering problem used in a consumer product. The chapters are organized with a description of the problem in its applicative context and a functional review of the theory related to its solution appearing first. Equations are only used for a precise description of the problem and its final solutions. Then a step-by-step MATLAB-based proof of concept, with full code, graphs, and comments follows. The solutions are simple enough for readers with general signal processing background to understand and they use state-of-the-art signal processing principles. Applied Signal Processing: A MATLAB-Based Proof of Concept is an ideal companion for most signal processing course books. It can be used for preparing student labs and projects.

Author : Nadder Hamdy
Publisher : CRC Press
Page : 556 pages
File Size : 42,5 Mb
Release : 2008-07-25
Category : Technology & Engineering
ISBN : 9781420067033

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Applied Signal Processing by Nadder Hamdy Pdf

Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones. Applied Signal Processing recognizes the linkage between

Author : Dimitris G. Manolakis,Vinay K. Ingle
Publisher : Cambridge University Press
Page : 1009 pages
File Size : 40,7 Mb
Release : 2011-11-21
Category : Technology & Engineering
ISBN : 9781139495738

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Applied Digital Signal Processing by Dimitris G. Manolakis,Vinay K. Ingle Pdf

Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.

Author : Richard Shiavi
Publisher : Elsevier
Page : 424 pages
File Size : 42,7 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.

Author : Joseph J.K. O Ruanaidh,William J. Fitzgerald
Publisher : Springer Science & Business Media
Page : 256 pages
File Size : 45,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461207177

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Numerical Bayesian Methods Applied to Signal Processing by Joseph J.K. O Ruanaidh,William J. Fitzgerald Pdf

This book is concerned with the processing of signals that have been sam pled and digitized. The fundamental theory behind Digital Signal Process ing has been in existence for decades and has extensive applications to the fields of speech and data communications, biomedical engineering, acous tics, sonar, radar, seismology, oil exploration, instrumentation and audio signal processing to name but a few [87]. The term "Digital Signal Processing", in its broadest sense, could apply to any operation carried out on a finite set of measurements for whatever purpose. A book on signal processing would usually contain detailed de scriptions of the standard mathematical machinery often used to describe signals. It would also motivate an approach to real world problems based on concepts and results developed in linear systems theory, that make use of some rather interesting properties of the time and frequency domain representations of signals. While this book assumes some familiarity with traditional methods the emphasis is altogether quite different. The aim is to describe general methods for carrying out optimal signal processing.

Author : Sadasivan Puthusserypady
Publisher : Unknown
Page : 550 pages
File Size : 47,9 Mb
Release : 2021
Category : Electronic
ISBN : 1680839799

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Applied Signal Processing by Sadasivan Puthusserypady Pdf

Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.

Author : Alexander D. Poularikas
Publisher : CRC Press
Page : 472 pages
File Size : 49,9 Mb
Release : 2017-11-13
Category : Mathematics
ISBN : 9781351623285

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Understanding Digital Signal Processing with MATLAB® and Solutions by Alexander D. Poularikas Pdf

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.

Author : Yu Hen Hu,Jenq-Neng Hwang
Publisher : CRC Press
Page : 408 pages
File Size : 55,8 Mb
Release : 2018-10-03
Category : Technology & Engineering
ISBN : 9781420038613

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Handbook of Neural Network Signal Processing by Yu Hen Hu,Jenq-Neng Hwang Pdf

The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.

Author : International Symposium Applied Signal Processing and Digital Filtering (1985, Paris),M. H. Hamza,International Association of Science and Technology for Development
Publisher : Unknown
Page : 356 pages
File Size : 50,9 Mb
Release : 1985
Category : Signal processing
ISBN : OCLC:630955434

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Applied Signal Processing by International Symposium Applied Signal Processing and Digital Filtering (1985, Paris),M. H. Hamza,International Association of Science and Technology for Development Pdf

Author : Vyacheslav Tuzlukov
Publisher : CRC Press
Page : 688 pages
File Size : 54,7 Mb
Release : 2018-10-08
Category : Technology & Engineering
ISBN : 9781420041118

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Signal Processing Noise by Vyacheslav Tuzlukov Pdf

Additive and multiplicative noise in the information signal can significantly limit the potential of complex signal processing systems, especially when those systems use signals with complex phase structure. During the last few years this problem has been the focus of much research, and its solution could lead to profound improvements in applications of complex signals and coherent signal processing. Signal Processing Noise sets forth a generalized approach to signal processing in multiplicative and additive noise that represents a remarkable advance in signal processing and detection theory. This approach extends the boundaries of the noise immunity set by classical and modern signal processing theories, and systems constructed on this basis achieve better detection performance than that of systems currently in use. Featuring the results of the author's own research, the book is filled with examples and applications, and each chapter contains an analysis of recent observations obtained by computer modelling and experiments. Tables and illustrations clearly show the superiority of the generalized approach over both classical and modern approaches to signal processing noise. Addressing a fundamental problem in complex signal processing systems, this book offers not only theoretical development, but practical recommendations for raising noise immunity in a wide range of applications.

Author : Ilya Shmulevich,Edward R. Dougherty
Publisher : Princeton University Press
Page : 314 pages
File Size : 51,6 Mb
Release : 2014-09-08
Category : Science
ISBN : 9781400865260

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Genomic Signal Processing by Ilya Shmulevich,Edward R. Dougherty Pdf

Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.

Author : Rami Qahwaji,Roger Green,Evor Hines
Publisher : IGI Global
Page : 0 pages
File Size : 42,7 Mb
Release : 2011
Category : Computers
ISBN : 1609604776

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Applied Signal and Image Processing by Rami Qahwaji,Roger Green,Evor Hines Pdf

Image and signal processing techniques are receiving increasing interest because of their numerous real-world applications. Data is now available in different forms, different wavelengths, and even in different dimensions, creating the need for novel multidisciplinary solutions for automated data processing and analysis. Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image processing by focusing on emerging applications and recent advances in well-established fields. This book covers state-or-the-art applications in both signal and image processing, which include optical communication and sensing, wireless communication management, face recognition and facial imaging, solar imaging and feature detection, fractal analysis, and video processing.

Author : Petar Djuric,Cédric Richard
Publisher : Academic Press
Page : 866 pages
File Size : 55,7 Mb
Release : 2018-07-04
Category : Computers
ISBN : 9780128136782

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Cooperative and Graph Signal Processing by Petar Djuric,Cédric Richard Pdf

Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book

Author : Kenneth E. Barner,Gonzalo R. Arce
Publisher : CRC Press
Page : 560 pages
File Size : 43,7 Mb
Release : 2003-11-24
Category : Technology & Engineering
ISBN : 9780203010419

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Nonlinear Signal and Image Processing by Kenneth E. Barner,Gonzalo R. Arce Pdf

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges of increasingly sophisticated applications. Advances in computing performance and nonlinear theory are making nonlinear techniques not only viable, but practical. This book details recent advances in nonl