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Signal Processing: A Mathematical Approach, Second Edition (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Charles L. ByrneSignal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics-including familiarity with Fourier series, matrices, probab
Signal Traffic: Critical Studies of Media Infrastructures (The Geopolitics of Information)
by Nicole Starosielski Lisa ParksThe contributors to Signal Traffic investigate how the material artifacts of media infrastructure--transoceanic cables, mobile telephone towers, Internet data centers, and the like--intersect with everyday life. Essayists confront the multiple and hybrid forms networks take, the different ways networks are imagined and engaged with by publics around the world, their local effects, and what human beings experience when a network fails. Some contributors explore the physical objects and industrial relations that make up an infrastructure. Others venture into the marginalized communities orphaned from the knowledge economies, technological literacies, and epistemological questions linked to infrastructural formation and use. The wide-ranging insights delineate the oft-ignored contrasts between industrialized and developing regions, rich and poor areas, and urban and rural settings, bringing technological differences into focus. Contributors include Charles R. Acland, Paul Dourish, Sarah Harris, Jennifer Holt and Patrick Vonderau, Shannon Mattern, Toby Miller, Lisa Parks, Christian Sandvig, Nicole Starosielski, Jonathan Sterne, and Helga Tawil-Souri.
Signal and Image Analysis for Biomedical and Life Sciences
by Changming Sun Tomasz Bednarz Tuan D. Pham Pascal Vallotton Dadong WangWith an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems. This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to each of the applications. It can be used by those both at graduate and specialist levels.
Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems
by V. Rajinikanth E. PriyaThis book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics.It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality.The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.
Signal and Image Processing for Biometrics
by Jacob Scharcanski Hugo Proença Eliza DuThis volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.
Signal and Image Processing for Remote Sensing (ISSN)
by C. H. ChenAdvances in signal and image processing for remote sensing have been tremendous in recent years. The progress has been particularly significant with the use of deep learning based techniques to solve remote sensing problems. These advancements are the focus of this third edition of Signal and Image Processing for Remote Sensing. It emphasizes the use of machine learning approaches for the extraction of remote sensing information. Other topics include change detection in remote sensing and compressed sensing. With 19 new chapters written by world leaders in the field, this book provides an authoritative examination and offers a unique point of view on signal and image processing.Features Includes all new content and does not replace the previous edition Covers machine learning approaches in both signal and image processing for remote sensing Studies deep learning methods for remote sensing information extraction that is found in other books Explains SAR, microwave, seismic, GPR, and hyperspectral sensors and all sensors considered Discusses improved pattern classification approaches and compressed sensing approaches Provides ample examples of each aspect of both signal and image processing This book is intended for university academics, researchers, postgraduate students, industry, and government professionals who use remote sensing and its applications.
Signal and Image Processing for Remote Sensing (Signal and Image Processing of Earth Observations)
by C.H. ChenContinuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processing can contribute significantly in extracting info
Signal and Image Processing in Medical Applications
by Amit Kumar Fahimuddin Shaik B Abdul Rahim D. Sravan KumarThis book highlights recentfindings on and analysesconducted on signalsand images in the area of medicine. The experimental investigations involve a variety of signalsand images and theirmethodologies range from very basic to sophisticated methods. The bookexplains how signal and image processing methods can be used to detect andforecast abnormalities in an easy-to-followmanner, offering a valuable resource for researchers, engineers,physicians and bioinformatics researchers alike.
Signal and Information Processing, Networking and Computers
by Songlin Sun Na Chen Tao TianThis proceedings book presents the latest research in the fields of information theory, communication system, computer science and signal processing, as well as other related technologies. Collecting selected papers from the 3rd Conference on Signal and Information Processing, Networking and Computers (ICSINC), held in Chongqing, China on September 13-15, 2017, it is of interest to professionals from academia and industry alike.
Signal and Information Processing, Networking and Computers: Proceedings Of The 3rd International Conference On Signal And Information Processing, Networking And Computers (icsinc) (Lecture Notes In Electrical Engineering #473)
by Songlin SunThis proceedings book presents selected papers from the 4th Conference on Signal and Information Processing, Networking and Computers (ICSINC) held in Qingdao, China on May 23–25, 2018. It focuses on the current research in a wide range of areas related to information theory, communication systems, computer science, signal processing, aerospace technologies, and other related technologies. With contributions from experts from both academia and industry, it is a valuable resource anyone interested in this field.
Signal and Information Processing, Networking and Computers: Proceedings of the 10th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) (Lecture Notes in Electrical Engineering #996)
by Yue Wang Jiaqi Zou Mengyao Huo Yuyang LiuThis book collects selected papers from the 10th Conference on Signal and Information Processing, Networking and Computers held in Xi’Ning, China held in July, 2022. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies and big data and other related technologies. People from both academia and industry of this field can contribute and find their interests from the book.
Signal and Information Processing, Networking and Computers: Proceedings of the 11th International Conference on Signal and Information Processing, Networking and Computers (ICSINC): Vol. III (Lecture Notes in Electrical Engineering #1188)
by Yue Wang Lexi Xu Jiaqi Zou Zhilei Ling Xinzhou ChengThis book collects selected papers from the 11th Conference on Signal and Information Processing, Networking and Computers held in Chengdu, China, in September 2023. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies, big data, and other related technologies. People from both academia and industry of these fields can contribute and find their interests from the book.The 11th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Chengdu, China, in September 2023, which focused on the key technologies and challenges of signal and information processing schemes, network application, computer theory, space technologies, big data, and other related technologies
Signal and Information Processing, Networking and Computers: Proceedings of the 12th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) (Lecture Notes in Electrical Engineering #1411)
by Yue Wang Lexi Xu Jiaqi Zou Gang SunThis proceedings book presents the latest research in the fields of signal and information processing schemes, computer theory, space technologies, big data, as well as other related technologies. Collecting selected papers from the 12th Conference on Signal and Information Processing, Networking and Computers (ICSINC), is held in Chongqing, China, on September 10–13, 2024, it is of interest to professionals from academia and industry alike.
Signal and Information Processing, Networking and Computers: Proceedings of the 1st International Congress on Signal and Information Processing, Networking and Computers (ICSINC 2015), October 17-18, 2015 Beijing, China
by Na Chen Tingting HuangThe First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes, network application, computer theory and application, etc. Topics in this conference include:Information TheoryThe work contains state-of-th
Signal and Information Processing, Networking and Computers: Proceedings of the 5th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) (Lecture Notes in Electrical Engineering #550)
by Songlin Sun Meixia Fu Lexi XuThis proceedings book presents selected papers from the 5th Conference on Signal and Information Processing, Networking and Computers (ICSINC), held in Yuzhou, China, from November 29 to December 1, 2018. It focuses on the current research in a wide range of areas in the fields of information theory, communication systems, computer science, signal processing, aerospace technologies, and other related technologies. With contributions from experts from both academia and industry, it is a valuable resource for anyone who is interested in this field.
Signal and Information Processing, Networking and Computers: Proceedings of the 6th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) (Lecture Notes in Electrical Engineering #628)
by Yue Wang Meixia Fu Lexi Xu Jiaqi ZouThis book collects selected papers from the 6th Conference on Signal and Information Processing, Networking and Computers, held in Guiyang, China, on August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike.
Signal and Information Processing, Networking and Computers: Proceedings of the 7th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) (Lecture Notes in Electrical Engineering #677)
by Yue Wang Lexi Xu Jiaqi Zou Yufeng YanThis book collects selected papers from the 7th Conference on Signal and Information Processing, Networking and Computers held in Rizhao, China, on September, 2020.The 7th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Rizhao, China, on September, 2020.
SignalR Blueprints
by Einar IngebrigtsenThis book is designed for software developers, primarily those with knowledge of C#, .NET, and JavaScript. Good knowledge and understanding of SignalR is assumed to allow efficient programming of core elements and applications in SignalR.
SignalR Programming in Microsoft ASP.NET
by Jose M. AguilarGet definitive guidance on SignalR, a new library for ASP.NET developers that simplifies the process of adding real-time web functionality to your applications. Real-time web functionality enables server-side code to push content to connected clients instantly as it becomes available. With this book, Microsoft .NET developers familiar with HTML and JavaScript will gain the skills to add real-time and async communication features for web, desktop, and mobile phone applications. Topics include: Introduction to async development; HTTP and real-time communications; SignalR technology fundamentals; persistent connections and hubs; multiplatform real-time applications; advanced topics Learn how SignalR uses Websockets when supported by the browser and the server and falls back to other techniques and technologies when it is not Use the simple ASP.NET API in SignalR for creating server-to-client remote procedure calls (RPC) that call JavaScript functions in client browsers from server-side .NET code. Exploit the API for connection management (e.g. connect and disconnect events), grouping connections, and authorization.
SignalR Real-time Application Cookbook
by Roberto VespaThis book contains illustrated code examples to help you create real-time, asynchronous, and bi-directional client-server applications. Each recipe will concentrate on one specific aspect of application development with SignalR showing you how that aspect can be used proficiently. Different levels of developers will find this book useful. Beginners will be able to learn all the fundamental concepts of SignalR, quickly becoming productive in a difficult arena. Experienced programmers will find in this book a handy and useful collection of ready-made solutions to common use cases, which they will be able to enhance as needed. Developers can also use the book as a quick reference to the most important SignalR features. No previous practical experience either with SignalR or with real-time communication in general is required.
SignalR – Real-time Application Development - Second Edition
by Einar IngebrigtsenA fast-paced guide to develop, test, and deliver real-time communication in your .Net applications using SignalR About This Book * Build and test real-time apps in .Net using the new features of SignalR * Explore the fundamentals and the new methods and functions in the latest version of SignalR along with developing a complete application from scratch * A progressive, hands-on guide to gain an understanding of the SignalR framework Who This Book Is For If you are a .Net developer with good understanding of the .Net platform then this is an ideal book for you to learn how to build real-time apps using the SignalR framework. What You Will Learn * Explore the basic knowledge and understanding of SignalR * Get to know how to connect client to the server * Connecting a client with a server and setting a hub * Creating group connections together * Understand how to have state in the client to have specific operations * Securing SignalR connections * How to scale SignalR across multiple servers * Building a client for WPF * Building a client using Xamarin targeting Windows, iPhone and Android * Get to grips with monitoring the traffic in SignalR using Fiddler for Windows and Charles for OSX * Setting up code to host SignalR using OWIN In Detail With technology trends, demands on software have changed with more and more skilled users. Over the past few years, with services such as Facebook, Twitter and push notifications on smartphones, users are now getting used to being up to date with everything that happens all the time. With SignalR, the applications stay connected and will generate notifications when something happens either from the system or by other users thus giving new opportunities to enter into this new, exciting world of real-time application development. This is a step-by-step guide that follows a practical approach helping you as a developer getting to get started with SignalR by learning its fundamentals. It will help you through building real-time applications using the new methods and functions in the SignalR framework. Starting from getting persistent connections with the server, you will learn the basics of connecting a client to the server and how the messaging works. This will be followed by setting up a hub on the server and consuming it from a JavaScript client. Next you will be taught how you can group connections together to send messages. We will then go on to know how you can have state in the client to handle specific operations like connecting or disconnecting. Then, moving on you will learn how to secure your SignalR connections using OWIN and scaling SignalR across multiple servers. Next you will learn building a client for WPF and building a client using Xamarin that targets Windows Phone, iPhone and Android. Lastly, you will learn how to monitor the traffic in SignalR using Fiddler, Charles and hosting SignalR using OWIN. Style and approach This is an example- oriented and comprehensive guide to learning the fundamentals of SignalR to build real-time applications. It will help you build real-time applications on the .Net platform in a step-by-step manner along with giving teaching techniques to deal with possible performance bottlenecks and other key topics.
SignalR: Real-time Application Development
by Einar IngebrigtsenThis step-by-step guide gives you practical advice, tips, and tricks that will have you writing real-time apps quickly and easily.If you are a .NET developer who wants to be at the cutting edge of development, then this book is for you. Real-time application development is made simple in this guide, so as long as you have basic knowledge of .NET, a copy of Visual Studio, and NuGet installed, you are ready to go
Signals and Boundaries: Building Blocks for Complex Adaptive Systems
by John H. HollandComplex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies. Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.
Signals and Boundaries: Building Blocks for Complex Adaptive Systems (The\mit Press Ser.)
by John H. HollandAn overarching framework for comparing and steering complex adaptive systems is developed through understanding the mechanisms that generate their intricate signal/boundary hierarchies.Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semi-permeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies with memoranda acting as signals; and so it is with other cas. Despite a wealth of data and descriptions concerning different cas, there remain many unanswered questions about "steering" these systems. In Signals and Boundaries, John Holland argues that understanding the origin of the intricate signal/border hierarchies of these systems is the key to answering such questions. He develops an overarching framework for comparing and steering cas through the mechanisms that generate their signal/boundary hierarchies.Holland lays out a path for developing the framework that emphasizes agents, niches, theory, and mathematical models. He discusses, among other topics, theory construction; signal-processing agents; networks as representations of signal/boundary interaction; adaptation; recombination and reproduction; the use of tagged urn models (adapted from elementary probability theory) to represent boundary hierarchies; finitely generated systems as a way to tie the models examined into a single framework; the framework itself, illustrated by a simple finitely generated version of the development of a multi-celled organism; and Markov processes.
Signals and Systems: A MATLAB Integrated Approach
by Oktay AlkinDrawing on the author's 25+ years of teaching experience, Signals and Systems: A MATLAB Integrated Approach presents a novel and comprehensive approach to understanding signals and systems theory. Many texts use MATLAB as a computational tool, but Alkin's text employs MATLAB both computationally and pedagogically to provide interactive, visual rein