Signal Compression

Image compression is concerned with minimization of the number of information carrying units used to represent an image. Lossy compression techniques incur some loss of information which is usually im

JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standar

With extensive diagrams and illustrations throughout, the editors have drawn together an international list of contributors to produce Nerve Compression Syndromes of the Upper Limb. This comprehensive

Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine le

A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and instructor and solution manuals Systematically intr

This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as

With this comprehensive and accessible introduction to the field, you will gain all the skills and knowledge needed to work with current and future audio, speech, and hearing processing technologies. Topics covered include mobile telephony, human-computer interfacing through speech, medical applications of speech and hearing technology, electronic music, audio compression and reproduction, big data audio systems and the analysis of sounds in the environment. All of this is supported by numerous practical illustrations, exercises, and hands-on MATLAB® examples on topics as diverse as psychoacoustics (including some auditory illusions), voice changers, speech compression, signal analysis and visualisation, stereo processing, low-frequency ultrasonic scanning, and machine learning techniques for big data. With its pragmatic and application driven focus, and concise explanations, this is an essential resource for anyone who wants to rapidly gain a practical understanding of speech and audi

How can data compression save you? If you’re in the business of building or marketing mobile apps and services, this book is an essential read. Mobile users are consuming and producing so much data to

This book presents recent research addressing the effects of different types of compression clothing on sport performance and recovery after exercise. It is also the first book that summarizes the eff

With the increasing interest in holography for 3D imaging applications, there is a need to develop and use hologram compression techniques for the efficient storage and transmission of holographic dat

Providing a comprehensive analysis of CO2 compression, transportation processes and safety issues for post combustion CO2 capture applications for a 900 MW pulverized hard coal-fired power plant, this

Focusing on data compression, this book builds systematically upon the fundamentals, which are unlikely to become dated. The authors explain fundamentals and algorithms in simple language and provide

This book introduces two of the most exciting heat pumping technologies, the coabsorbent and the thermal recovery (mechanical vapor) compression, characterized by a high potential in primary energy sa

Compression treatment for chronic venous diseases is associated with a wide range of challenges and often produces uncertain clinical outcomes. Investigating and exploiting the performance of compress

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those in the traditional Nyquist approach. It helps acquire, store, fuse and process large data sets efficiently and accurately. This method, which links data acquisition, compression, dimensionality reduction and optimization, has attracted significant attention from researchers and engineers in various areas. This comprehensive reference develops a unified view on how to incorporate efficiently the idea of compressive sensing over assorted wireless network scenarios, interweaving concepts from signal processing, optimization, information theory, communications and networking to address the issues in question from an engineering perspective. It enables students, researchers and communications engineers to develop a working knowledge of compressive sensing, including background on the basics of compressive sensing theory, an understanding of its benefits and

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems ad

The conference focuses on research topics related to dynamic compression of condensed matter. This interdisciplinary field encompasses areas of physics, chemistry, materials science, and planetary phy

“Signal Conditioning” is a comprehensive introduction to electronic signal processing. The book presents the mathematical basics including the implications of various transformed domain representation

Recursive Block Coding, a new image data compression technique that has its roots in noncausal models for 1d and 2d signals, is the subject of this book. The underlying theory provides a multitude of

It is increasingly clear that signal transduction is a highly organized and integrated process.? Divided into two convenient sections, Signal Transduction Protocols, Third Edition focuses on experimen

Unlike detecting constitutively expressed targets, immunohistochemical detection of labile, low abundance, and short-lived signal transduction molecules can be a very difficult task.? In Signal Transd

A signal integrity and design engineer in private practice, Thierauf presents an introductory text for engineers, project leaders, and managers setting out the fundamentals of signal integrity. He det

The book introduces the basic principles of video compression, and presents its implementations in C/C++. Topics covered include: An introduction to information theory Imaging basics, color models

Providing a thorough theoretical understanding of lossy compression techniques for image, video, speech, and audio compression, this book also covers the key features of each system, as well as practical applications, implementation issues, and design trade-offs. It presents comparisons of multimedia standards in terms of achieving known theoretical limits, whilst common and distinguishing features of the existing standards are explained and related to the background theory. There is detailed coverage of such topics as the H.264 video coding standard, low-complexity code-based vector quantizers, and the Blahut rate-distortion algorithm. Examples based on real multimedia data are also included, plus end-of-chapter problems to test understanding, algorithms that allow the reader to represent speech and audio signals efficiently, and an appendix on the basics of lossless coding. With an excellent balance of theory and practice, this book is ideal for undergraduate and graduate students, a

Data compression is one of the most important fields and tools in modern computing. From archiving data, to CD-ROMs, and from coding theory to image analysis, many facets of modern computing rely upon

This book gives an overview on many practical aspects of video compression systems used in broadcast TV, IPTV, telecommunication and many other video applications. Although the book concentrates on MP

This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Complete and clear, it is the perfect reference for advanced undergrad

This all-inclusive, expertly structured contributed volume will serve as an indispensable guide for professionals or researchers working in areas like networking, communications, data compression, mul

This is a real-time digital signal processing textbook using the latest embedded Blackfin processor Analog Devices, Inc (ADI). 20% of the text is dedicated to general real-time signal processing prin

An indispensable treatment of optical signal processing--now in a convenient paperback editionThis introduction to optical signal processing offers an unparalleled look at its underlying theory and se

- Everything needed to master the techniques, tricks, and confusing protocols of video compression- How to compress professionally on your desktop- H.264 code -- DVD quality video over the Internet- I

An effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, t

Video compression coding is the enabling technology behind a new wave of communication applications. From streaming internet video to broadcast digital television and digital cinema, the video codec i

A concise guide of essential data compression methods and algorithms for text, audio and imaging data.

Video compression is the enabling technology behind many cutting-edge business and Internet applications, including video-conferencing, video-on-demand, and digital cable TV. Coauthored by internation

Textbook introducing the fundamentals of applied digital signal processing, aimed at helping the reader design and implement signal synthesis, signal analysis, filters, and modulators on any digital s

A biomedical engineering perspective on the theory, methods, and applications of signal processing This book provides a unique framework for understanding signal processing of biomedical signals and w

Linear signal spaces are of fundamental importance in signal and system theory, communication theory, and modern signal processing. This book proposes a time-frequency analysis of linear signal sp

Drawing on their experience in industry, research, and academia, this powerful author team combines their expertise to provide an accessible guide to data compression standards and techniques and thei

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.