Signalbehandling

This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7-8 August 2021. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

Master the fundamentals of digital communications systems with this accessible and hands-on introductory textbook, carefully interweaving theory and practice. The just-in-time approach introduces essential background as needed, keeping academic theory firmly linked to practical applications. The example-led teaching frames key concepts in the context of real-world systems, such as 5G, WiFi, and GPS. Stark provides foundational material on the trade-offs between energy and bandwidth efficiency, giving students a solid grounding in the fundamental challenges of designing digital communications systems. Features include over 300 illustrative figures, 80 examples, and 130 end-of-chapter problems to reinforce student understanding, with solutions for instructors. Accompanied online by lecture slides, computational MATLAB® and Python resources, and supporting data sets, this is the ideal introduction to digital communications for senior undergraduate and graduate students in electrical engineering.

The book highlights recent developments in human biometrics, covering a wide range of methods based on biological signals, image processing, and measurements of human characteristics such as fingerprints and iris or medical characteristics. Human Biometrics is becoming increasingly crucial in forensics security and medicine. They provide a solid basis for identifying individuals based on unique physical characteristics or diseases based on characteristic biomedical measurements. As such, the book offers an essential reference guide about biometry methods for students, engineers, designers, and technicians.  

This book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS'20) held on October 27-28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.

Moderne Telekommunikationsnetze sind IP-basiert und integrieren alle Dienste und Zugangsnetztechniken. Aktuelle Stichworte in diesem Zusammenhang sind Voice und Multimedia over IP, das Session Initiation Protocol (SIP), das Konzept der Next Generation Networks (NGN), IMS (IP Multimedia Subsystem), Software Defined Networking (SDN) und Netzwerkvirtualisierung. Fur das Befassen mit solchen Netzen stellt dieses Buch das notwendige Fachwissen bereit und gibt Impulse zur Gestaltung und Optimierung moderner Telekommunikationsinfrastrukturen. - Next Generation Networks- Multimedia over IP (Funktionsweise, Techniken, Protokolle, Quality of Service)- SIP und SDP (Protokollfunktionen, Netzelemente, Routing, Network Address and Port Translation, Mobilitat, Sicherheit u. a.)- WebRTC (Web Real-Time Communication between Browsers)- Moderne Telekommunikationsnetze inkl. Mobilfunknetze der 4. und 5.Generation- Netzwerkvirtualisierung und SDN- M2M und Internet der Dinge Hauptziel dieses Buches ist es, fundiertes theoretisches und praktisches Wissen uber SIP, Multimedia over IP, NGN und moderne Kommunikationsnetze zu vermitteln sowie Wege in die Zukunft aufzuzeigen.

This book describes how a key signal/image processing algorithm ¿ that of the fast Hartley transform (FHT) or, via a simple conversion routine between their outputs, of the real¿data version of the ubiquitous fast Fourier transform (FFT) ¿ might best be formulated to facilitate computationally-efficient solutions. The author discusses this for both 1-D (such as required, for example, for the spectrum analysis of audio signals) and m¿D (such as required, for example, for the compression of noisy 2-D images or the watermarking of 3-D video signals) cases, but requiring few computing resources (i.e. low arithmetic/memory/power requirements, etc.). This is particularly relevant for those application areas, such as mobile communications, where the available silicon resources (as well as the battery-life) are expected to be limited. The aim of this monograph, where silicon¿based computing technology and a resource¿constrained environment is assumed and the data is real-valued in nature, hasthus been to seek solutions that best match the actual problem needing to be solved.

This book focuses on the theory, development, novel techniques, and smart solutions in data analytics for intelligent systems that capture behaviours in complex environments. The book will provide beginners with a single platform to explore a variety of recent data analytics techniques for different types of data - images, videos, numerical etc. for better decision-making and problem solving for a range of applications such as computer vision, biomedical engineering, image processing, speech signal processing, intelligent systems, fault analysis and detection. In today's world, incorporation of artificial intelligence with machine learning, ensemble learning, deep learning, transfer learning and reinforcement learning has a variety of applications. This book focuses on the various advanced techniques in data analytics that can be used in different domains to solve real-time problems.Key Features: Features a wide range of data analytics methods for Intelligent Systems in one resource.Focus on applications.Includes application in a broad range of fields.

Novel approach to the theory of signals and systems in an introductory, accessible textbookSignals and Systems have the reputation of being a difficult subject. Essentials of Signals and Systems is a standalone textbook aiming to change this reputation with a novel approach to this subject, teaching the essential concepts of signals and systems in a clear, friendly, intuitive, and accessible way.The overall vision of the book is that traditional approaches to signals and systems are unnecessarily convoluted, and that students' learning experiences are much improved by making a clear connection between the theory of representation of signal and systems, and the theory of representation of vectors and matrices in linear algebra. The author begins by reviewing the theory of representation in linear algebra, emphasizing that vectors are represented by different coordinates when the basis is changed, and that the basis of eigenvectors is special because it diagonalizes the operator. Thus, in each step of the theory of representation of signals and systems, the author shows the analogous step in linear algebra. With such an approach, students can easily understand that signals are analogous to vectors, that systems are analogous to matrices, and that Fourier transforms are a change to the basis that diagonalizes LTI operators.The text emphasizes the key concepts in the analysis of linear and time invariant systems, demonstrating both the algebraic and physical meaning of Fourier transforms. The text carefully connects the most important transforms (Fourier series, Discrete Time Fourier Transform, Discrete Fourier Transforms, Laplace and z-transforms), emphasizing their relationships and motivations. The continuous and discrete time domains are neatly connected, and the students are shown step-by-step how to use the fft function, using simple examples.Incorporating learning objectives and problems, and supported with simple Matlab codes to illustrate concepts, the text presents to students the foundations to allow the reader to pursue more advanced topics in later courses.Developed from lecture notes already tested with more than 600 students over six years, Essentials of Signals and Systems covers sample topics such as:* Basic concepts of linear algebra that are pertinent to signals and systems.* Theory of representation of signals, with an emphasis on the notion of Fourier transforms as a change of basis, and on their physical meaning.* Theory of representation of linear and time invariant systems, emphasizing the role of Fourier transforms as a change to the basis of eigenvectors, and the physical meaning of the impulse and frequency responses.* What signals and systems have to do with phasors and impedances, and the basics of filter design.* The Laplace transform as an extension of Fourier transforms.* Discrete signals and systems, the sampling theorem, the Discrete Time Fourier Transform (DTFT), the Discrete Fourier Transform (DFT), and how to use the fast fourier transform (fft).* The z-transform as an extension of the Discrete Time Fourier Transform.Essentials of Signals and Systems is an immensely helpful textbook on the subject for undergraduate students of electrical and computer engineering. The information contained within is also pertinent to those in physics and related fields involved in the understanding of signals and system processing, including those working on related practical applications.

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems.

Dieses Buch erklärt die Prinzipien der Biosignalverarbeitung und ihre praktischen Anwendungen mit MATLAB. Die Themen umfassen die Entstehung von Biosignalen, Elektrophysiologie, analoge und digitale Biosignalverarbeitung, analoge und digitale Filter, Mustererkennung und statistische Datenanalyse. Diese neue und überarbeitete Auflage enthält weitere wissenschaftliche Anwendungen für maschinelles Lernen und Klassifikation von PPG-Signalen von Dr. U. Hackstein, sowie zur Bewegungsanalyse von den Gastautoren Prof. Dr. J. Subke und B. Schneider.

Written in an engaging and rigorous style by a world authority in the field, this is an accessible and comprehensive introduction to techniques for inferring unknown variables and quantities. With downloadable Matlab code and solutions for instructors, this is the ideal introduction for students of data science, machine learning and engineering.