The 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-the-art research work in the field of information theory from traditional media coding theory, compressing and streaming theory to the latest quantum theory & statistics and big data analytics, featuring the most active research interests in this field. Communication SystemAs a traditional and fundamental aspect of the conference in the field of signal processing and networking, ICSINC publications includes research works focusing on physical layer transmission theory such as MIMO transmission, adaptive antenna theory, and radar and satellite transmission, etc. Research works in the field of SDN, wireless security and 5G related theories are also included. Computer ScienceThe conference also encompasses relevant topics in computer science such as AI & neural network, patter recognition & learning, and medical image processing etc. Other topics such as internet application, biometric & authentication are also included. WorkshopICSINC features workshops hosted by experts from the industrial world. The workshop on Telecom Big Data based Research and Application promotes the in-depth exploration of the most recent research and development findings on the basis of telecom big data. This workshop provides participation of the industry to showcase and commercialize their relevant technology and application as well as products. All materials will be included in publication.

Classical signal processing techniques are based primarily on the analog nature of all signals. However, the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones.

Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects (analog and digital signal processing) in one authoritative volume. It introduces underlying principles, basic concepts, and definitions as well as classic and contemporary designs of signal processing systems. The author includes a detailed description of data converters, an interface between the real world of analog signals and the artificial world of digital signals. He provides a concise presentation of topics by limiting the number of complex equations and using lucid language. Numerous real-world application examples are featured within each chapter including architectures from Texas Instruments, Motorola, and Analog Devices.

With its compounded coverage of both analog and digital signal processing techniques, this book provides engineers with the knowledge they need to understand the analog basis of modern digital signal processing techniques and construct architectures for modern systems.

Spreadin' Rhythm Around: Black Popular Songwriters,1880-1930 is a classic work on a little-studied subject in American music history: the contribution of African-American songwriters to the world of popular song. Hailed by Publishers Weekly as "thoroughly researched and entertainingly written," this work documents the careers of songwriters like James A. Bland ("Carry Me Back to Ole Virginny"), Bert Williams ("Nobody"), W. C. Handy ("St. Louis Blues"), Noble Sissle, Eubie Blake ("I'm Just Wild About Harry"), and many more. Richly illustrated with rare photographs from sheet music, newspapers, and other unique sources, the book documents an entire era of performance when black singers, dancers, and actors were active on the New York stage. In sheer depth of research, new information, and full coverage, Spreadin' Rhythm Around offers a comprehensive picture of the contributions of black musicians to American popular song. For anyone interested in the history of jazz, pop song, or Broadway, this book will be a revelation.

This book describes a completely novel mathematical development which has already influenced probability theory, and has potential for application to engineering and to areas of pure mathematics.

Offers a well-rounded, mathematical approach to problems in signal interpretation using the latest time, frequency, and mixed-domain methods
* Equally useful as a reference, an up-to-date review, a learning tool, and a resource for signal analysis techniques
* Provides a gradual introduction to the mathematics so that the less mathematically adept reader will not be overwhelmed with instant hard analysis
* Covers Hilbert spaces, complex analysis, distributions, random signals, analog Fourier transforms, and more

Providing quality research for the reader, this title encompasses all the recent developments in smart sensor technology for health monitoring in aerospace structures, providing a valuable introduction to damage detection techniques. Focussing on engineering applications, all chapters are written by smart structures and materials experts from aerospace manufacturers and research/academic institutions.

This key reference: Discusses the most important aspects related to smart technologies for damage detection; this includes not only monitoring techniques but also aspects related to specifications, design parameters, assessment and qualification routes.Presents real case studies and applications; this includes in-flight tests; the work presented goes far beyond academic research applications.Displays a balance between theoretical developments and engineering applications

New technologies in engineering, physics and biomedicine are demanding increasingly complex methods of digital signal processing. By presenting the latest research work the authors demonstrate how real-time recurrent neural networks (RNNs) can be implemented to expand the range of traditional signal processing techniques and to help combat the problem of prediction. Within this text neural networks are considered as massively interconnected nonlinear adaptive filters.

• Analyses the relationships between RNNs and various nonlinear models and filters, and introduces spatio-temporal architectures together with the concepts of modularity and nesting

• Examines stability and relaxation within RNNs

• Presents on-line learning algorithms for nonlinear adaptive filters and introduces new paradigms which exploit the concepts of a priori and a posteriori errors, data-reusing adaptation, and normalisation

• Studies convergence and stability of on-line learning algorithms based upon optimisation techniques such as contraction mapping and fixed point iteration

• Describes strategies for the exploitation of inherent relationships between parameters in RNNs

• Discusses practical issues such as predictability and nonlinearity detecting and includes several practical applications in areas such as air pollutant modelling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing

Digital signal processing (DSP) covers a wide range of applications such as signal acquisition, analysis, transmission, storage, and synthesis. Special attention is needed for the VLSI (very large scale integration) implementation of high performance DSP systems with examples from video and radar applications. This book provides basic architectures for VLSI implementations of DSP tasks covering architectures for application specific circuits and programmable DSP circuits. It fills an important gap in the literature by focusing on the transition from algorithms specification to architectures for VLSI implementations. Areas covered include:

• architectures for basic operations and elementary functions
• parallel processing and pipelining
• application specific array processors
• programmable digital signal processors

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

This book is a testimony to Evgeny Nikolaevich Sokolov's years of work in developing knowledge in the areas of perception, information processing and attention, and to the research it has spawned. It presents a historical account of a research program, leading the reader toward a cognitive science approach to the study of perception and attention. An understanding of neuroscience and mathematical modeling are helpful prerequisites. The co-authors collected data on orienting, attention, and information processing in the brain using single-cell recordings, central, autonomic, cognitive, behavioral, and verbal measures. This commonality brought them together for a series of meetings which resulted in the production of this book. The book ends with a review of some of the co-authors studies that have developed from or in parallel with Sokolov's research. They investigate, in particular, the concepts of attention and anticipation using a psychophysiological methodology.

This totally revised and expanded reference/text emphasizes the intricate relationship between adaptive filtering and signal analysis-highlighting the most recent stochastic processes, signal representations and properties, analytical tools, and implementation methods. Includes new chapters on adaptive techniques in communications and rotation based algorithms Providing practical applications in information, estimation, and circuit theories, the Second Edition of Adaptive Digital Filters contains current FORTRAN listings of computer subroutines novel engineering design options and finite word-length effects for least mean squares (LMS) modern linear prediction theory for fast algorithm operations state-of-the-art design and performance aspects for fast least squares (FLS) and more With nearly 1400 display equations and drawings, the Second Edition of Adaptive Digital Filters is an invaluable reference for electrical, electronics, video, audio, network, computer, digital design, multimedia software, signal processing, and communication engineers, and an authoritative text for upper-level undergraduate and graduate students in these disciplines.

Part of the continuing growth in the applications of digital signal processing, multirate digital signal processing has become an active research area of considerable importance. The key characteristic of multirate algorithms is their high computational efficiency, and hence their increasing implementation. This new technique is now widely employed in a range of applications from digital audio broadcasting (DAB) to multi-carrier data transmission and subband speech coding. This topical book gives a comprehensive analysis of multirate digital signal processing. Features include:

• A thorough introduction to the fundamental theory of multirate digital signal processing.
• A summary of the key properties of those filters which employ multirate techniques including cascaded multirate filters, multirate complementary filters, and interpolated FIR filters.
• An assessment of the properties of various digital filter banks, such as quadratur mirror, paraunitary, biorthogonal, modulated, polyphase, and multicomplementary filter banks.
• Design methodologies for multirate filters and filter banks.
• An examination of the discrete wavelet transform using filter banks, the construction of wavelets and examples of wavelet systems.
• A complete overview of current applications and a look ahead towards the future developments in this field.

Employs a combined source channel coding technique that supplies error This reference/text focuses on the transmission of image and video inf Features a detailed description of the state-of-the-art MPEG-4 video c Stressing the importance of coding to counteract errors when transmitt ing over mobile channels, Examining channel coding techniques used for video applications in a wireless environment, Video Coding for Wirele ss Communication Systems is a blue-chip reference for electrical; elec tronics; signal, image, and video processing; computer circuit and sys tems; digital design; and communication engineers; and a superb text f or upper-level undergraduate and graduate students in these discipline s.

This open access book provides a concise explanation of the fundamentals and background of the surround sound recording and playback technology Ambisonics. It equips readers with the psychoacoustical, signal processing, acoustical, and mathematical knowledge needed to understand the inner workings of modern processing utilities, special equipment for recording, manipulation, and reproduction in the higher-order Ambisonic format. The book comes with various practical examples based on free software tools and open scientific data for reproducible research. The book's introductory section offers a perspective on Ambisonics spanning from the origins of coincident recordings in the 1930s to the Ambisonic concepts of the 1970s, as well as classical ways of applying Ambisonics in first-order coincident sound scene recording and reproduction that have been practiced since the 1980s. As, from time to time, the underlying mathematics become quite involved, but should be comprehensive without sacrificing readability, the book includes an extensive mathematical appendix. The book offers readers a deeper understanding of Ambisonic technologies, and will especially benefit scientists, audio-system and audio-recording engineers. In the advanced sections of the book, fundamentals and modern techniques as higher-order Ambisonic decoding, 3D audio effects, and higher-order recording are explained. Those techniques are shown to be suitable to supply audience areas ranging from studio-sized to hundreds of listeners, or headphone-based playback, regardless whether it is live, interactive, or studio-produced 3D audio material.

Digital Signal Processing is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction. Divided into three parts, the book covers various aspects of the digital signal processing (DSP) problem. It begins with the analysis of discrete-time signals and explains sampling and the use of the discrete and fast Fourier transforms. The second part of the book covering digital to analog and analog to digital conversion provides a practical interlude in the mathematical content before Part III lays out a careful development of the Z-transform and the design and analysis of digital filters. MATLAB and Simulink are employed extensively to allow the reader to experience the beautiful mathematics underlying this important discipline, and to demonstrate the subject 's engineering relevance. The practical microprocessor-oriented parts of Digital Signal Processing are introduced with special reference to the ADuC841, a lab manual for which can be downloaded from www.springer.com/978-1-84800-118-3. These labs can be easily transposed for other microprocessors. Problems are provided at the end of each chapter and an electronic solutions manual is available for tutors. Academic tutors of courses in DSP will find this book to be an invaluable aid in explaining the fundamental mathematics of digital signal processing and drawing out its significance for engineers. Electrical and computer engineers working in signals- and communications-related fields can use the book as a reference or for self-tuition and for deepening their understanding of the techniques they use. Graduate appliedmathematics, electrical, electronic and computer engineering students interested in DSP will learn the underlying mathematics of a vital engineering discipline and how to apply it in practical laboratory situations.

Corpus Annotation gives an up-to-date picture of this fascinating new area of research, and will provide essential reading for newcomers to the field as well as those already involved in corpus annotation. Early chapters introduce the different levels and techniques of corpus annotation. Later chapters deal with software developments, applications, and the development of standards for the evaluation of corpus annotation. While the book takes detailed account of research world-wide, its focus is particularly on the work of the UCREL (University Centre for Computer Corpus Research on Language) team at Lancaster University, which has been at the forefront of developments in the field of corpus annotation since its beginnings in the 1970s.

First Published in 1997. Routledge is an imprint of Taylor & Francis, an informa company.

Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important areas: (1) fundamentals and examples of random process models, (2) applications of probabilistic models: signal detection, and filtering, and (3) statistical estimation--measurement and analysis of random data to determine the structure and parameter values of probabilistic models. This volume by Breipohl and Shanmugan offers the only one-volume treatment of the fundamentals of random process models, their applications, and data analysis.

This textbook presents an introduction to signal processing for audio applications. The author's approach posits that math is at the heart of audio processing and that it should not be simplified. He thus retains math as the core of signal processing and includes concepts of difference equations, convolution, and the Fourier Transform. Each of these is presented in a context where they make sense to the student and can readily be applied to build artifacts. Each chapter in the book builds on the previous ones, building a linear, coherent story. The book starts with a definition of sound and goes on to discuss digital audio signals, filters, The Fourier Transform, audio effects, spatial effects, audio equalizers, dynamic range control, and pitch estimation. The exercises in each chapter cover the application of the concepts to audio signals. The exercises are made specifically for Pure Data (Pd) although traditional software, such as MATLAB, can be used. The book is intended for students in media technology bachelor programs. The book is based on material the author developed teaching on the topic over a number of years.

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.

This volumes discusses various aspects regarding the capacity/achievable data rate of stationary Rayleigh fading channels. First, it analyses bounds on the achievable data rate with zero-mean proper Gaussian input symbols, which are capacity achieving in the coherent case, i.e., in case of perfect channel knowledge at the receiver. These bounds are tight in the sense that the difference between the upper and the lower bound is bounded for all SNRs. The lower bound converges to the coherent capacity for asymptotically small channel dynamics. Furthermore, these bounds are extended to the case of multiple-input multiple-output (MIMO) channels and to the case of frequency selective channels. In a further part, the present work studies the achievable rate with receivers based on synchronized detection and a code-aided channel estimation. For a specific type of such a receiver an approximate upper bound on the achievable rate is derived. The comparison of this approximate upper bound and the achievable data rate with receivers using synchronized detection based on a solely pilot based channel estimation gives an approximate upper bound on the possible gain by using this kind of code-aided channel estimation in comparison to the conventional receiver using a solely pilot based channel estimation. In addition, the achievable data rate with an optimal joint processing of pilot and data symbols is studied and a lower bound on the achievable rate for this case is derived. In this context, it is also shown which part of the mutual information of the transmitter and the receiver is discarded when using the conventional receiver with synchronized detection based on a solely pilot based channel estimation.

Case-based reasoning in design is becoming an important approach to computer-support for design as well as an important component in understanding the design process. Design has become a major focus for problem solving paradigms due to its complexity and open-ended nature. This book presents a clear description of how case-based reasoning can be applied to design problems, including the representation of design cases, indexing and retrieving design cases, and the range of paradigms for adapting design cases. With a focus on design, this book differs from others that provide a generalist view of case-based reasoning.
This volume provides two important contributions to the area:
* a general description of the issues and alternatives in applying case-based reasoning to design, and
* a description of specific implementations of case-based design.
Through this combination, the reader will learn about both the general issues and the practical problems in supporting design through case-based reasoning. This book was prepared to fill a gap in the literature on the unique problems that design introduces to computational paradigms developed in computer science. It also addresses the needs of computational support for design problem solving from both theoretical and practical perspectives.

Providing a wealth of information on fundamental topics in the areas of linear air and underwater acoustics, as well as space-time signal processing, this book provides real-world design and analysis equations. As a consequence of the interdisciplinary nature of air and underwater acoustics, the book is divided into two parts: Acoustic Field Theory and Space-Time Signal Processing. It covers the fundamentals of acoustic wave propagation as well as the fundamentals of aperture theory, array theory, and signal processing. Starting with principles and using a consistent, mainly standard notation, this book develops, in detail, basic results that are useful in a variety of air and underwater acoustic applications. Numerous figures, examples, and problems are included.

This volume is an extended description of continuous-time signals related to the course of Signals and Systems. As a time-varying process of any physical state of any object, which serves for representation, detection, and transmission of messages, a modern electrical signal possesses, in applications, many specific properties. To make possible for readers to deal with signals free, the book systematically covers major principle foundations of the signals theory. The representation of signals in the frequency domain (by Fourier transform) is considered with strong emphasis on how the spectral density of a single waveform becomes that of its burst and then the spectrum of its train. Different kinds of amplitude and angular modulations are analyzed noticing a consistency between the spectra of modulating and modulated signals. The energy and power presentation of signals is given along with their correlation properties.

This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.