Digital Signal Processing and Parallel Algorithms

This book focuses on the design and testing of large-scale, distributed signal processing systems, with a special emphasis on systems architecture, tooling and best practices. Architecture modeling, m

This book presents an Introduction and 11 independent chapters, which are devoted to various new approaches of intelligent image processing and analysis. The book also presents new methods, algorithms

This introduction to DSP software development for embedded and real-time developers shows how to use digital signal processors efficiently in embedded and real-time systems. It covers software and fir

Ndjountche, who is not further identified, describes how to design high-speed, power-efficient front-end analog circuits that can either be used alone or can interface with modern digital signal proce

This collection examines the multiple ways people listen to, consume, and produce music and sound in an increasingly digital world. Technologies such as social networks, recommendation algorithms, vir

Several of the contributions in the volume review the state of the art in color techniques for image watermarking, digital audio watermarking algorithms, text watermarking, three-dimensional meshes, a

An interdisciplinary and easy-to-understand introduction to the subject, covering fundamental theory and practical applications, and using numerous operational examples. This balanced text will allow you to begin from what the radar observes and move deeper through electromagnetic scattering theory and cloud microphysics to understand and interpret data as it appears on the display. It uses illustrations and figures of real radar observations to convey concepts and theory of atmospheric processes typically observed with weather radar, as well presenting a working knowledge of the radar system itself. In addition to covering fundamentals of scattering and atmospheric physics, topics include system hardware, signal processing, and radar networks. This is the perfect tool for scientists and engineers working on weather radars or using radars and their data, as well as senior undergraduate and graduate students studying weather radars.

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth, but this book follows an alternative approach which invokes inverse scattering theory. By developing the theory of seismic imaging from basic principles, the authors relate the different models of seismic propagation, reflection and imaging - thus providing links to reflectivity-based imaging on the one hand and to nonlinear seismic inversion on the other. The comprehensive and physically complete linear imaging foundation developed presents new results at the leading edge of seismic processing for target location and identification. This book serves as a fundamental guide to seismic imaging principles and algorithms and their foundation in inverse scattering theory, and is a valuable resource for working geoscientists, scientific programmers and theoretical physicists.

Extracting information from seismic data requires knowledge of seismic wave propagation and reflection. The commonly used method involves solving linearly for a reflectivity at every point within the Earth, but this book follows an alternative approach which invokes inverse scattering theory. By developing the theory of seismic imaging from basic principles, the authors relate the different models of seismic propagation, reflection and imaging - thus providing links to reflectivity-based imaging on the one hand and to nonlinear seismic inversion on the other. The comprehensive and physically complete linear imaging foundation developed presents new results at the leading edge of seismic processing for target location and identification. This book serves as a fundamental guide to seismic imaging principles and algorithms and their foundation in inverse scattering theory, and is a valuable resource for working geoscientists, scientific programmers and theoretical physicists.

In this book, the RCS of a parallel-fed linear and planar dipole array is derived using an approximate method. The signal propagation within the phased array system determines the radar cross section

In the last two decades fractional differential equations have been used more frequently in physics, signal processing, fluid mechanics, viscoelasticity, mathematical biology, electro chemistry and ma

Search transforms the essential but challenging topic of search algorithms into a fantasy-noir mystery for the digital age. This is a unique introduction to search algorithms and how they work, writte

This book contains extended versions of selected papers from the 3rd edition of the International Symposium CompIMAGE.These contributions include cover methods of signal and image processing and analy

Analyzes and discusses the operating principle, signal processing method, and experimental results of this advanced radar technologyThis book systematically discusses the operating principle, signal p

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB®, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

The traditional and ubiquitous digital computer has changed the world by processing series of binary ones and zeroes...very fast. Like the sideshow juggler spinning plates on billiard cues, the classi

This book addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. It is written is a concise manner and

This text describes in practical terms how to use a desk-top computer to monitor and control laboratory experiments. The author clearly explains how to design electronic circuits and write computer programs to sense, analyse and display real-world quantities, including displacement, temperature, force, sound, light, and biomedical potentials. The book includes numerous laboratory exercises and appendices that provide practical information on microcomputer architecture and interfacing, including complete circuit diagrams and component lists. Topics include analog amplification and signal processing, digital-to-analog and analog-to-digital conversion, electronic sensors and actuators, digital and analog interfacing circuits, and programming. Only a very basic knowledge of electronics is assumed, making it ideal for college-level laboratory courses and for practising engineers and scientists.

Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds the human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

The 68 papers in this collection cover communication and information technology; the research and design of machines and mechanisms for manufacturing; data, signal and image processing, and computatio

In Decoding the Social World, Sandra González-Bailón shows how algorithms, crowdsourcing, and digital traces offer methods and data that can help us solve the puzzle of unintended consequences -- a s

This book highlights recent advances in intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence.

How is language organized in the human brain? The Neuroscience of Language, published in 2003, puts forth a systematic model of language to bridge the gap between linguistics and neuroscience. Neuronal models of word and serial order processing are presented in the form of a computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal structure and function, cognitive brain processes, the basics of classical aphasia research and modern neuroimaging of language, neural network approaches to language, and the basics of syntactic theories. The essence of the work is contained in chapters on neural algorithms and networks, basic syntax, serial order mechanisms, and neuronal grammar. Throughout, excursuses illustrate the functioning of brain models of language, some of which are accessible as animations on the book's accompanying web site. It will appeal to graduate students and researchers in neuros

This book addresses the problem of separating spontaneous multi-party speech by way of microphone arrays (beamformers) and adaptive signal processing techniques. It is written is a concise manner and

This book provides, for the first time, a broad and deep treatment of the fields of both ultra low power electronics and bioelectronics. It discusses fundamental principles and circuits for ultra low power electronic design and their applications in biomedical systems. It also discusses how ultra energy efficient cellular and neural systems in biology can inspire revolutionary low power architectures in mixed-signal and RF electronics. The book presents a unique, unifying view of ultra low power analog and digital electronics and emphasizes the use of the ultra energy efficient subthreshold regime of transistor operation in both. Chapters on batteries, energy harvesting, and the future of energy provide an understanding of fundamental relationships between energy use and energy generation at small scales and at large scales. A wealth of insights and examples from brain implants, cochlear implants, bio-molecular sensing, cardiac devices, and bio-inspired systems make the book useful and

New technology is revolutionizing broadcasting markets. As the cost of bandwidth processing and delivery fall, information-intensive services that once bore little economic relationship to each other are now increasingly related as substitutes or complements. Television, newspapers, telecoms and the internet compete ever more fiercely for audience attention. At the same time, digital encoding makes it possible to charge prices for content that had previously been broadcast for free. This is creating new markets where none existed before. How should public policy respond? Will competition lead to better services, higher quality and more consumer choice - or to a proliferation of low-quality channels? Will it lead to dominance of the market by a few powerful media conglomerates? Using the insights of modern microeconomics, this book provides a state-of-the-art analysis of these and other issues by investigating the power of regulation to shape and control broadcasting markets.

New technology is revolutionizing broadcasting markets. As the cost of bandwidth processing and delivery fall, information-intensive services that once bore little economic relationship to each other are now increasingly related as substitutes or complements. Television, newspapers, telecoms and the internet compete ever more fiercely for audience attention. At the same time, digital encoding makes it possible to charge prices for content that had previously been broadcast for free. This is creating new markets where none existed before. How should public policy respond? Will competition lead to better services, higher quality and more consumer choice - or to a proliferation of low-quality channels? Will it lead to dominance of the market by a few powerful media conglomerates? Using the insights of modern microeconomics, this book provides a state-of-the-art analysis of these and other issues by investigating the power of regulation to shape and control broadcasting markets.

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Domain decomposition (DD) methods provide powerful tools for constructing parallel numerical solution algorithms for large scale systems of algebraic equations arising from the discretization of parti

How is language organized in the human brain? The Neuroscience of Language, published in 2003, puts forth a systematic model of language to bridge the gap between linguistics and neuroscience. Neuronal models of word and serial order processing are presented in the form of a computational, connectionist neural network. The linguistic emphasis is on words and elementary syntactic rules. Introductory chapters focus on neuronal structure and function, cognitive brain processes, the basics of classical aphasia research and modern neuroimaging of language, neural network approaches to language, and the basics of syntactic theories. The essence of the work is contained in chapters on neural algorithms and networks, basic syntax, serial order mechanisms, and neuronal grammar. Throughout, excursuses illustrate the functioning of brain models of language, some of which are accessible as animations on the book's accompanying web site. It will appeal to graduate students and researchers in neuros

Iterative error correction codes have found widespread application in cellular communications, digital video broadcasting and wireless LANs. This self-contained treatment of iterative error correction presents all the key ideas needed to understand, design, implement and analyse these powerful codes. Turbo, low-density parity-check, and repeat-accumulate codes are given equal, detailed coverage, with precise presentations of encoding and decoding procedures. Worked examples are integrated into the text to illuminate each new idea and pseudo-code is included for important algorithms to facilitate the reader's development of the techniques described. For each subject, the treatment begins with the simplest case before generalizing. There is also coverage of advanced topics such as density-evolution and EXIT charts for those readers interested in gaining a deeper understanding of the field. This text is ideal for graduate students in electrical engineering and computer science departments

This book brings together papers that offer conceptual analyses, highlight issues, propose solutions, and discuss practices regarding privacy, data protection and enforcing rights in a changing world. It is one of the results of the 14th annual International Conference on Computers, Privacy and Data Protection (CPDP), which took place online in January 2021. The pandemic has produced deep and ongoing changes in how, when, why, and the media through which, we interact.Many of these changes correspond to new approaches in the collection and use of our data - new in terms of scale, form, and purpose. This raises difficult questions as to which rights we have, and should have, in relation to such novel forms of data processing, the degree to which these rights should be balanced against other poignant social interests, and how these rights should be enforced in light of the fluidity and uncertainty of circumstances. The book covers a range of topics, such as: digital sovereignty; art and a

Shift register sequences cover a broad range of applications, from radar signal design, pseudo-random number generator, digital wireless telephony, and many other areas in coded communications. It is

是一部探討數位生活影響的實用書籍，由倫敦大學學院Dr Kaitlyn Regehr撰寫。書中以平實的方式說明智慧手機、演算法與人工智慧如何改變我們的思考與生活，同時提供具體方法，幫助讀者更健康地使用科技。內容涵蓋身體意象、廣告、錯假資訊等常見議題，也介紹如何辨識風險、調整使用習慣與照顧心理健康。這本書適合關心孩子與自身網路使用方式的讀者閱讀，是理解現代數位環境與學習自我保護的實用指南。A groundbreaking exploration of how smartphones, algorithms and AI are changing the way we think, act and feel, and a clear, empowering toolkit for living a healthier, happier life online, from leading expert and Associate Professor at University College London, Dr Kaitlyn Regehr.The tools and understanding you need to protect yourself, and your family.Smartphone Nation will transform the way you – and your children – understand your devices and how they affect you. In this practical, agenda-setting book, Dr Kaitlyn Regehr – one of the world’s foremost experts on digital literacy – sets out how you can keep the advantages of the internet whilst identifying often hidden dangers and stepping away when you’re over-reliant.Grassroots movements have done an amazing job of alerting many of us to the d

本書是作者繼1978年出版的經典教材《語音信號的數文書處理》之後的又一著作，全書除有簡練精闢的基礎知識介紹外，系統講解了近30年來語音信號處理的新理論、新方法和在應用上的新進展。全書共14章，分四部分：第一部分介紹語音信號處理基礎知識，主要包括數位信號處理基礎、語音產生機理、（人的）聽覺和聽感知機理，以及聲道中的聲傳播原理；第二部分介紹語音信號的時、頻域表示和分析；第三部分介紹語音參數估計方法；第

本書系統地講述了從事電力電子裝置研發過程中涉及的傳感器技術、信號處理技術、通信網絡技術以及電磁兼容性設計技術，並將它們整合起來，按照剛剛從事這方面研發工作的硬件工程師視角，進行素材遴選、內容編排。本書將涉及強電知識[如主拓撲中的電力電子器部件(整流橋、逆變橋)、DC-Link器部件、熔斷器等]、弱電理論(如主回路中的獲取關鍵性參變量的傳感器的信號處理與變換、電力電子器部件狀態反饋單元、主控單元等)

This collection of papers by leading researchers in their respective fields contains contributions showing the use of the maximum entropy method in many of the fields in which it finds application. In the physical, mathematical and biological sciences it is often necessary to make inferences based on insufficient data. The problem of choosing one among the many possible conclusions or models which are compatible with the data may be resolved in a variety of ways. A particularly appealing method is to choose the solution which maximizes entropy in the sense that the conclusion or model honours the observed data but implies no further assumptions not warranted by the data. The maximum entropy principle has been growing in importance and acceptance in many fields, perhaps most notably statistical physics, astronomy, geophysics, signal processing, image analysis and physical chemistry. The papers included in this volume touch on most of the current areas of research activity and applicatio

Welcome to the second International Symposium on Parallel Architectures, Al-gorithms and Programming （PAAP 2009）. The symposium is sponsored andorganized by University of Science and Technology of Chi

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical

Correlation is a robust and general technique for pattern recognition and is used in many applications, such as automatic target recognition, biometric recognition and optical character recognition. The design, analysis and use of correlation pattern recognition algorithms requires background information, including linear systems theory, random variables and processes, matrix/vector methods, detection and estimation theory, digital signal processing and optical processing. This book provides a needed review of this diverse background material and develops the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and optical implementations. It also contains technology presented by the team that developed it and includes case studies of significant interest, such as face and fingerprint recognition. Suitable for graduate students taking courses in pattern recognition theory, whilst reaching technical