2023 Signal Processing

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Introduction to Graph Signal Processing

Author : Antonio Ortega
Publisher : Cambridge University Press
ISBN 13 : 1108640176
Total Pages : pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Introduction to Graph Signal Processing by : Antonio Ortega

Download or read book Introduction to Graph Signal Processing written by Antonio Ortega and published by Cambridge University Press. This book was released on 2022-06-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

A Pragmatic Introduction to Signal Processing

Author : Thomas O'Haver
Publisher : Lulu.com
ISBN 13 : 9781365084775
Total Pages : 132 pages
Book Rating : 4.0/5 (847 download)

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Book Synopsis A Pragmatic Introduction to Signal Processing by : Thomas O'Haver

Download or read book A Pragmatic Introduction to Signal Processing written by Thomas O'Haver and published by Lulu.com. This book was released on 2016-05-19 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: An practical introduction to computer-based signal processing techniques for scientists, engineers, researchers, instructors, and students working in academia, industry, environmental, medical, engineering, earth science, space, military, financial, agriculture, and communications, keyed to free downloadable Matlab/Octave scripts and functions and spreadsheet templates.

Introduction to Signal Processing

Author : Sophocles J. Orfanidis
Publisher :
ISBN 13 :
Total Pages : 824 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Introduction to Signal Processing by : Sophocles J. Orfanidis

Download or read book Introduction to Signal Processing written by Sophocles J. Orfanidis and published by . This book was released on 1996 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book differs from the classical DSP book model pioneered by O/S. Includes chapters on DFT, Z-Transform and Filter Design. The book starts out with what one reviewer calls "fun topics", and DSP applications".

Practical Signal Processing

Author : Mark Owen
Publisher : Cambridge University Press
ISBN 13 : 0521854784
Total Pages : 347 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Practical Signal Processing by : Mark Owen

Download or read book Practical Signal Processing written by Mark Owen and published by Cambridge University Press. This book was released on 2007-05-17 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the basic theory of digital signal processing, with emphasis on real-world applications.

Signal Processing Techniques for Computational Health Informatics

Author : Md Atiqur Rahman Ahad
Publisher : Springer Nature
ISBN 13 : 3030549321
Total Pages : 347 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Signal Processing Techniques for Computational Health Informatics by : Md Atiqur Rahman Ahad

Download or read book Signal Processing Techniques for Computational Health Informatics written by Md Atiqur Rahman Ahad and published by Springer Nature. This book was released on 2020-10-07 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on signal processing techniques used in computational health informatics. As computational health informatics is the interdisciplinary study of the design, development, adoption and application of information and technology-based innovations, specifically, computational techniques that are relevant in health care, the book covers a comprehensive and representative range of signal processing techniques used in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature extraction techniques in the time, frequency, time–frequency and complexity domain, and image processing techniques in different image modalities. Moreover, it includes an extensive discussion of security and privacy challenges, opportunities and future directions for computational health informatics in the big data age, and addresses the incorporation of recent techniques from the areas of artificial intelligence, deep learning and human–computer interaction. The systematic analysis of the state-of-the-art techniques covered here helps to further our understanding of the physiological processes involved and expandour capabilities in medical diagnosis and prognosis. In closing, the book, the first of its kind, blends state-of-the-art theory and practices of signal processing techniques inthe health informatics domain with real-world case studies building on those theories. As a result, it can be used as a text for health informatics courses to provide medics with cutting-edge signal processing techniques, or to introducehealth professionals who are already serving in this sector to some of the most exciting computational ideas that paved the way for the development of computational health informatics.

Fractional Order Signal Processing

Author : Saptarshi Das
Publisher : Springer Science & Business Media
ISBN 13 : 3642231179
Total Pages : 110 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Fractional Order Signal Processing by : Saptarshi Das

Download or read book Fractional Order Signal Processing written by Saptarshi Das and published by Springer Science & Business Media. This book was released on 2011-09-15 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book tries to briefly introduce the diverse literatures in the field of fractional order signal processing which is becoming an emerging topic among an interdisciplinary community of researchers. This book is aimed at postgraduate and beginning level research scholars who would like to work in the field of Fractional Order Signal processing (FOSP). The readers should have preliminary knowledge about basic signal processing techniques. Prerequisite knowledge of fractional calculus is not essential and is exposited at relevant places in connection to the appropriate signal processing topics. Basic signal processing techniques like filtering, estimation, system identification, etc. in the light of fractional order calculus are presented along with relevant application areas. The readers can easily extend these concepts to varied disciplines like image or speech processing, pattern recognition, time series forecasting, financial data analysis and modeling, traffic modeling in communication channels, optics, biomedical signal processing, electrochemical applications and many more. Adequate references are provided in each category so that the researchers can delve deeper into each area and broaden their horizon of understanding. Available MATLAB tools to simulate FOSP theories are also introduced so that the readers can apply the theoretical concepts right-away and gain practical insight in the specific domain.

Advanced Digital Signal Processing of Seismic Data

Author : Wail A. Mousa
Publisher : Cambridge University Press
ISBN 13 : 1107039657
Total Pages : 341 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Advanced Digital Signal Processing of Seismic Data by : Wail A. Mousa

Download or read book Advanced Digital Signal Processing of Seismic Data written by Wail A. Mousa and published by Cambridge University Press. This book was released on 2020-01-16 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents an advanced overview of Digital Signal Processing and its applications to exploration seismology, for electrical engineers, geophysicists and petroleum professionals.

Digital Signal Processing

Author : Thomas Holton
Publisher : Cambridge University Press
ISBN 13 : 1108418449
Total Pages : 1061 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Digital Signal Processing by : Thomas Holton

Download or read book Digital Signal Processing written by Thomas Holton and published by Cambridge University Press. This book was released on 2021-02-18 with total page 1061 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive and mathematically accessible introduction to digital signal processing, covering theory, advanced topics, and applications.

Applied Signal and Image Processing

Author : Rami Qahwaji
Publisher : IGI Global
ISBN 13 : 9781609604776
Total Pages : 0 pages
Book Rating : 4.6/5 (47 download)

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Book Synopsis Applied Signal and Image Processing by : Rami Qahwaji

Download or read book Applied Signal and Image Processing written by Rami Qahwaji and published by IGI Global. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing

Author : Rajesh Kumar Tripathy
Publisher : CRC Press
ISBN 13 : 1040028772
Total Pages : 227 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing by : Rajesh Kumar Tripathy

Download or read book Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing written by Rajesh Kumar Tripathy and published by CRC Press. This book was released on 2024-06-06 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface Highlights the latest machine learning and deep learning methods for neural signal processing Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.

The Mathematics of Signal Processing

Author : Steven B. Damelin
Publisher : Cambridge University Press
ISBN 13 : 1107013224
Total Pages : 463 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis The Mathematics of Signal Processing by : Steven B. Damelin

Download or read book The Mathematics of Signal Processing written by Steven B. Damelin and published by Cambridge University Press. This book was released on 2012 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.

RF and Digital Signal Processing for Software-Defined Radio

Author : Tony J. Rouphael
Publisher : Newnes
ISBN 13 : 0080941737
Total Pages : 396 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis RF and Digital Signal Processing for Software-Defined Radio by : Tony J. Rouphael

Download or read book RF and Digital Signal Processing for Software-Defined Radio written by Tony J. Rouphael and published by Newnes. This book was released on 2009-03-07 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the RF and Digital Signal Processing Principles Driving Software-defined Radios!Software-defined radio (SDR) technology is a configurable, low cost, and power efficient solution for multimode and multistandard wireless designs. This book describes software-defined radio concepts and design principles from the perspective of RF and digital signal processing as performed within this system. After an introductory overview of essential SDR concepts, this book examines signal modulation techniques, RF and digital system analysis and requirements, Nyquist and oversampled data conversion techniques, and multirate digital signal processing.. KEY TOPICS•Modulation techniquesMaster analog and digital modulation schemes•RF system-design parametersExamine noise and link budget analysis and Non-linear signal analysis and design methodology•Essentials of baseband and bandpass sampling and gain controlIF sampling architecture compared to traditional quadrature sampling, Nyquist zones, automatic gain control, and filtering•Nyquist sampling converter architecturesAnalysis and design of various Nyquist data converters•Oversampled data converter architecturesAnalysis and design of continuous-time and discrete-time Delta-Sigma converters•Multirate signal processing Gain knowledge of interpolation, decimation, and fractional data rate conversion*Offers readers a powerful set of analytical and design tools*Details real world designs*Comprehensive coverage makes this a must have in the RF/Wireless industry

Geometry of Deep Learning

Author : Jong Chul Ye
Publisher : Springer Nature
ISBN 13 : 9811660468
Total Pages : 338 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Geometry of Deep Learning by : Jong Chul Ye

Download or read book Geometry of Deep Learning written by Jong Chul Ye and published by Springer Nature. This book was released on 2022-01-05 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than describing deep learning as an implementation technique, as is usually the case in many existing deep learning books, here, deep learning is explained as an ultimate form of signal processing techniques that can be imagined. To support this claim, an overview of classical kernel machine learning approaches is presented, and their advantages and limitations are explained. Following a detailed explanation of the basic building blocks of deep neural networks from a biological and algorithmic point of view, the latest tools such as attention, normalization, Transformer, BERT, GPT-3, and others are described. Here, too, the focus is on the fact that in these heuristic approaches, there is an important, beautiful geometric structure behind the intuition that enables a systematic understanding. A unified geometric analysis to understand the working mechanism of deep learning from high-dimensional geometry is offered. Then, different forms of generative models like GAN, VAE, normalizing flows, optimal transport, and so on are described from a unified geometric perspective, showing that they actually come from statistical distance-minimization problems. Because this book contains up-to-date information from both a practical and theoretical point of view, it can be used as an advanced deep learning textbook in universities or as a reference source for researchers interested in acquiring the latest deep learning algorithms and their underlying principles. In addition, the book has been prepared for a codeshare course for both engineering and mathematics students, thus much of the content is interdisciplinary and will appeal to students from both disciplines.

Analog and Digital Signal Processing

Author : Ashok Ambardar
Publisher : Brooks/Cole
ISBN 13 :
Total Pages : 728 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Analog and Digital Signal Processing by : Ashok Ambardar

Download or read book Analog and Digital Signal Processing written by Ashok Ambardar and published by Brooks/Cole. This book was released on 1995 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook on signals and systems provides a complete array of MATLAB tools specifically designed for the course, compatible with MATLAB 3.5 or 4.0. This software tool is used in the context of a presentation of systems concepts and analysis techniques. Use of MATLAB helps students to understand what the mathematical abstractions represent, which helps them to understand the behavior of a variety of systems. In response to a wide range of signal inputs.The software provides students with instantaneous feedback which encourages them to explore problems further. Topics covered in the text include signals, systems, convolution, Fourier series and transforms, Laplace transforms, analog filters, sampling, the discrete-time Fourier transform (DTFT), FFT, z-transforms and digital filters. All basic concepts are illustrated by worked examples. End-of-chapter problems include simple drills as well as more challenging exercises that develop or extend the concepts covered. A unique (but optional) feature of this text is the software supplied on disk which contains ready-to-run demonstrations, interactive programs and full-fledged general purpose programs. ..The software runs under MATLAB and includes routines developed for plotting functions, generating random signals, regular and periodic convolution, analytical and numerical solution of differential and difference equations, Fourier analysis, frequency response, asymptotic Bode plots, closed form expressions for Laplace and z-transforms and inverse transforms, classical analog filter design, sampling, quantization, interpolation, FIR and IIR filter design using various methods, and more. So as not to affect the continuity and logical flow of the text material, the programs are described and used only in the accompanying documentation on disk. A MATLAB appendix to each chapter lists the appropriate programs, and each section that can be tied to the software is marked.

Digital Signal Processing (DSP) with Python Programming

Author : Maurice Charbit
Publisher : John Wiley & Sons
ISBN 13 : 1119373034
Total Pages : 295 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Digital Signal Processing (DSP) with Python Programming by : Maurice Charbit

Download or read book Digital Signal Processing (DSP) with Python Programming written by Maurice Charbit and published by John Wiley & Sons. This book was released on 2017-01-05 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: The parameter estimation and hypothesis testing are the basic tools in statistical inference. These techniques occur in many applications of data processing., and methods of Monte Carlo have become an essential tool to assess performance. For pedagogical purposes the book includes several computational problems and exercices. To prevent students from getting stuck on exercises, detailed corrections are provided.

Applied Digital Signal Processing

Author : Dimitris G. Manolakis
Publisher : Cambridge University Press
ISBN 13 : 1139495739
Total Pages : 1009 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Applied Digital Signal Processing by : Dimitris G. Manolakis

Download or read book Applied Digital Signal Processing written by Dimitris G. Manolakis and published by Cambridge University Press. This book was released on 2011-11-21 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Signal Processing Techniques for Communication

Author : K.C. Raveendranathan
Publisher : CRC Press
ISBN 13 : 1040134955
Total Pages : 315 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Signal Processing Techniques for Communication by : K.C. Raveendranathan

Download or read book Signal Processing Techniques for Communication written by K.C. Raveendranathan and published by CRC Press. This book was released on 2024-10-30 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: The reference text discusses signal processing tools and techniques used for the design, testing, and deployment of communication systems. It further explores software simulation and modeling tools like MATLAB, GNU Octave, Mathematica, and Python for modeling, simulation, and detailed analysis leading to comprehensive insights into communication systems. The book explains topics such as source coding, pulse demodulation systems, and the principle of sampling and aliasing. This book: Discusses modern techniques including analog and digital filter design, and modulation principles including quadrature amplitude modulation, and differential phase shift keying. Covers filter design using MATLAB, system simulation using Simulink, signal processing toolbox, linear time-invariant systems, and non-linear time-variant systems. Explains important pulse keying techniques including Gaussian minimum shift keying and quadrature phase shift keying. Presents signal processing tools and techniques for communication systems design, modeling, simulation, and deployment. Illustrates topics such as software-defined radio (SDR) systems, spectrum sensing, and automated modulation sensing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.