The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and application have been made. The applications of signal processing are numerous and include audio signal processing, biomedical engineering, multimedia, video signal processing, pattern analysis, pattern recognition, artificial intelligence, decision making, control systems, and many more. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of efficiently exchanging data and extracting useful knowledge from them. The theory and applications of signal processing are concerned with the identification, modelling and utilisation of patterns and structures in a signal process. This book is aimed to provide a self-contained introduction to the subject as well as offering a set of invited contributions, which we see as lying at the cutting edge of both empirical and computational aspects of signal processing research. This book was born from discussions with researchers in the signal processing community and aims to provide a snapshot of some current trends and future challenges in signal processing research. This book presents state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of signal, image and video data. The book is likely to be of interest to post graduate students, researchers, engineers, and professors - in the field of signal processing. This book is organized into 13 chapters, covering diverse applications of signal processing research.

This detailed, up-to-date introduction to heterogeneous cellular networking introduces its characteristic features, the technology underpinning it and the issues surrounding its use. Comprehensive and in-depth coverage of core topics catalogue the most advanced, innovative technologies used in designing and deploying heterogeneous cellular networks, including system-level simulation and evaluation, self-organisation, range expansion, cooperative relaying, network MIMO, network coding and cognitive radio. Practical design considerations and engineering tradeoffs are also discussed in detail, including handover management, energy efficiency and interference management techniques. A range of real-world case studies, provided by industrial partners, illustrate the latest trends in heterogeneous cellular networks development. Written by leading figures from industry and academia, this is an invaluable resource for all researchers and practitioners working in the field of mobile communications.

Markov Random Fields in Image Segmentation introduces the fundamentals of Markovian modeling in image segmentation as well as providing a brief overview of recent advances in the field. Segmentation is considered in a common framework, called image labelling, where the problem is reduced to assigning labels to pixels. In a probabilistic approach, label dependencies are modeled by Markov random fields (MRF) and an optimal labeling is determined by Bayesian estimation, in particular maximum a posteriori (MAP) estimation. The main advantage of MRF models is that prior information can be imposed locally through clique potentials. The primary goal is to demonstrate the basic steps to construct an easily applicable MRF segmentation model and further develop its multiscale and hierarchical implementations as well as their combination in a multilayer model. MRF models usually yield a non-convex energy function. The minimization of this function is crucial in order to find the most likely segmentation according to the MRF model. Besides classical optimization algorithms like simulated annealing or deterministic relaxation, this book also presents recently introduced graph cut-based algorithms. It discusses the possible parallelization techniques of simulated annealing, which allows efficient implementation on, for example, GPU hardware without compromising convergence properties of the algorithms. While the main focus of this monograph is on generic model construction and related energy minimization methods, many sample applications are also presented to demonstrate the applicability of these models in real life problems such as remote sensing, biomedical imaging, change detection, and color- and motion-based segmentation. In real-life applications, parameter estimation is an important issue when implementing completely data-driven algorithms. Therefore some basic procedures, such as expectation-maximization, are also presented in the context of color image segmentation. Markov Random Fields in Image Segmentation is an essential companion for students, researchers and practitioners working on, or about to embark on research in statistical image segmentation.

The approach of this book is research-like because initiates the readers process of understanding of the science problem in computing disciplines with a focused practical approach which is driven through the implementation in source code of the theoretical concepts. The combination of structured programming techniques with Graphical User Interfaces and routines employed for data visualization make also possible the discovery of new concepts, which are related to the practicality of the science problem being addressed. Such combination broadens the array of capabilities and skills acquired by the readers and it is also useful to understand the issues in the system development counterpart of the computing project. Combining computing in science settings with system development broaden the array of knowledge provided through the lecture. The treatment of the programming details is expansive and corroborated with explanations of the ANSI C/Visual C++/OpenGL coding along with pictures of the Graphical User Interfaces at work with the OpenGL windows for data visualization. Topics: 1. Whittaker-Shannon interpolation formula 2. k-Space Sampling 3. Direct and inverse Fourier Transformations 4. SRE-based interpolation functions 5. Flow charts of the Graphical User Interface 6. Booth Algorithm for binary multiplication 7. Rotation translation of 3D volumes 8. Artificial Neural Network for pattern recognition 9. Graphical User Interfaces 10. Data randomization 11. Creation of artificial data sets 12. OpenGL connection to Visual C++ to display three 2D composite views The source code which allows to build the Computer Science Applications described in the book is available for download at: http: //www.sourcecodewebsiteCarloCiulla.com

Provides easy learning and understanding of DWT from a signal processing point of view * Presents DWT from a digital signal processing point of view, in contrast to the usual mathematical approach, making it highly accessible * Offers a comprehensive coverage of related topics, including convolution and correlation, Fourier transform, FIR filter, orthogonal and biorthogonal filters * Organized systematically, starting from the fundamentals of signal processing to the more advanced topics of DWT and Discrete Wavelet Packet Transform. * Written in a clear and concise manner with abundant examples, figures and detailed explanations * Features a companion website that has several MATLAB programs for the implementation of the DWT with commonly used filters This well-written textbook is an introduction to the theory of discrete wavelet transform (DWT) and its applications in digital signal and image processing. -- Prof. Dr. Manfred Tasche - Institut fur Mathematik, Uni Rostock Full review at https://zbmath.org/?q=an:06492561

An understanding of random processes is crucial to many engineering fields–including communication theory, computer vision, and digital signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering, estimation, and detection of random processes in noisy environments are critical tasks necessary in the analysis and design of new communications systems and useful signal processing algorithms. Random Processes: Filtering, Estimation, and Detection clearly explains the basics of probability and random processes and details modern detection and estimation theory to accomplish these tasks.

In this book, Lonnie Ludeman, an award-winning authority in digital signal processing, joins the fundamentals of random processes with the standard techniques of linear and nonlinear systems analysis and hypothesis testing to give signal estimation techniques, specify optimum estimation procedures, provide optimum decision rules for classification purposes, and describe performance evaluation definitions and procedures for the resulting methods. The text covers four main, interrelated topics:

• Probability and characterizations of random variables and random processes
• Linear and nonlinear systems with random excitations
• Optimum estimation theory including both the Wiener and Kalman Filters
• Detection theory for both discrete and continuous time measurements

Lucid, thorough, and well-stocked with numerous examples and practice problems that emphasize the concepts discussed, Random Processes: Filtering, Estimation, and Detection is an understandable and useful text ideal as both a self-study guide for professionals in the field and as a core text for graduate students.

Bringing together experts in multimodal signal processing, this book provides a detailed introduction to the area, with a focus on the analysis, recognition and interpretation of human communication. The technology described has powerful applications. For instance, automatic analysis of the outputs of cameras and microphones in a meeting can make sense of what is happening - who spoke, what they said, whether there was an active discussion and who was dominant in it. These analyses are layered to move from basic interpretations of the signals to richer semantic information. The book covers the necessary analyses in a tutorial manner, going from basic ideas to recent research results. It includes chapters on advanced speech processing and computer vision technologies, language understanding, interaction modeling and abstraction, as well as meeting support technology. This guide connects fundamental research with a wide range of prototype applications to support and analyze group interactions in meetings.

Theory and Use of the EM Algorithm introduces the expectation-maximization (EM) algorithm and provides an intuitive and mathematically rigorous understanding of this method. It describes in detail two of the most popular applications of EM: estimating Gaussian mixture models (GMMs), and estimating hidden Markov models (HMMs). It also covers the use of EM for learning an optimal mixture of fixed models, for estimating the parameters of a compound Dirichlet distribution, and for disentangling superimposed signals. It discusses problems that arise in practice with EM, and variants of the algorithm that help deal with these challenges. Theory and Use of the EM Algorithm is designed to be useful to both the EM novice and the experienced EM user looking to better understand the method and its use.

Source Coding is the first part of the two-part monograph Fundamentals of Source and Video Coding by Wiegand and Schwarz. It is devoted to the fundamental subject of source coding. Source Coding is a standalone text and also forms the basis for the second part, which describes the application of sources coding techniques to video coding. Based on a simple and accessible presentation of the fundamentals of information and rate distortion theory, the authors describe the subjects of entropy coding and quantization as well as predictive and transform coding. All relevant source coding results that are required for the understanding of today's video compression algorithms are established. The emphasis is on source coding techniques that have become relevant for video coding in recent years. To illustrate the concepts and efficiency of the basic sources coding techniques, the authors provide numerous examples and experimental results for simple model sources. In addition to widely known results, the monograph also offers some elements that are new or rarely covered in references on source coding today, which include: Huffman coding for variable-length symbol sequences and PIPE coding, scalar quantization in combination with advanced entropy coding techniques, a simple model for the rate distortion performance of entropy-constrained scalar quantization for Gaussian sources that is valid over the entire bit rate range, a proof for the optimality of the Karhunen-Loeve transform for Gaussian sources. Source Coding is suitable as a primary text for courses on this subject. It can also be used as a resource for teaching and as a comprehensive reference for professional engineers and academic researchers.

The book consists of a set of business scenarios and corresponding solution critiques. Each "use case" chapter is made up of a problem description, assessment of implementation options, and the selection of the ideal solution candidate. We then construct the solution using the chosen Microsoft technology. This book is for architects, developers, and managers who need to improve their knowledge of the Microsoft application platform. This book will appeal to anyone who wants to get up to speed on selecting the most appropriate platform for a particular problem. Consultants and executive leadership will also find significant value in this book. A good understanding of the general Windows platform and development technologies would be helpful.

An Introduction to Frames is an introduction to redundant signal representations called frames. These representations have recently emerged as yet another powerful tool in the signal processing toolbox, spurred by a host of recent applications requiring some level of redundancy. It asks the question: Why and where should one use frames? And answers emphatically: Anywhere where redundancy is a must. It then goes on to discuss a host of applications that richly illustrate that answer. An Introduction to Frames is geared primarily toward engineering students and those without extensive mathematical training. It is also intended to help researchers and practitioners decide whether frames are the right tool for their application.

Rethinking Biased Estimation discusses methods to improve the accuracy of unbiased estimators used in many signal processing problems. At the heart of the proposed methodology is the use of the mean-squared error (MSE) as the performance criteria. One of the prime goals of statistical estimation theory is the development of performance bounds when estimating parameters of interest in a given model, as well as constructing estimators that achieve these limits. When the parameters to be estimated are deterministic, a popular approach is to bound the MSE achievable within the class of unbiased estimators. Although it is well-known that lower MSE can be obtained by allowing for a bias, in applications it is typically unclear how to choose an appropriate bias. Rethinking Biased Estimation introduces MSE bounds that are lower than the unbiased Cramer-Rao bound (CRB) for all values of the unknowns. It then presents a general framework for constructing biased estimators with smaller MSE than the standard maximum-likelihood (ML) approach, regardless of the true unknown values. Specializing the results to the linear Gaussian model, it derives a class of estimators that dominate least-squares in terms of MSE. It also introduces methods for choosing regularization parameters in penalized ML estimators that outperform standard techniques such as cross validation.

The reader is provided with information on how to choose between the techniques and how to design a system that takes advantage of the best features of each of them. Imminently practical in approach, the book covers sampled data systems, choosing A-to-D and D-to-A converters for DSP applications, fast Fourier transforms, digital filters, selecting DSP hardware, interfacing to DSP chips, and hardware design techniques. It contains a number of application designs with thorough explanations. Heavily illustrated, the book contains all the design reference information that engineers need when developing mixed and digital signal processing systems.
*Brought to you from the experts at Analog Devices, Inc.
*A must for any electrical, electronics or mechanical engineer's reference shelf
*Design-oriented, practical volume

Principles of Radar and Sonar Signal Processing offers you a thorough presentation of the latest technologies in conventional and adaptive signal processing theory, and covers techniques for detailed analysis of physical signatures of targets and clutter. You learn how target signature analysis provides you with a better understanding of the various techniques used in anechoic chambers and modern radar systems.

Extensively supported with over 440 equations and more than 110 illustrations.

In control and signal processing, adaptation is a natural tool to cope with real-time changes in the dynamical behaviour of signals and systems. In this area, strongly connected with prediction and identification, there has been an increasing interest in switching and supervising methods. Moreover in recent years, special attention has been paid to the ideas evolving round the theory of statistical learning as a potential tool of improved adaptation.

The IFAC workshop on Adaptation and Learning in Control and Signal Processing in 2001 gathered together experts in the field and interested researchers from universities and industry to present a full picture of the area. This proceedings volume presents papers covering the following subjects: Model reference and predictive control; Multiple model control; Adaptive control I/II; Adaptive control and learning; Learning; Adaptive control of nonlinear systems I/II; Supervisory control; Neural networks for control; PID design methods; Sliding mode; Adaptive filtering and estimation; Identification methods I/II.

The up-to-date, comprehensive volume on digital methods for waveform generation, digital filters, and digital signal processing tools and techniques

DSP Applications Using C and the TMS320C6x DSK provides a hands-on learning approach to digital signal processing (DSP) that uses real-time implementation of experiments and projects. Chapters begin with a theoretical discussion, followed by examples that present the necessary background to perform the concluding experiments. A total of seventy-six solved-programming examples are included, most of which are done in C/C++ (C) code with a few in assembly and linear assembly code.

The tools used in this book, the Code Composer Studio (CCS) and the TMS320C6711 DSP Starter Kit (DSK), are introduced in the first chapter. Examples are given here that illustrate the capabilities of the CCS for debugging as well as plotting in time and frequency domains. The CCS and DSK are used throughout the book while working with covered material such as:

• Input and output (I/O) with the codec on the DSK board and alternative I/O with a stereo audio codec that interfaces with the DSK

• The architecture and instructions available for the TMS320C6x processor

• The z-transform and finite impulse response (FIR) filters and the effect of window functions on these filters

• Infinite impulse response (IIR) filters

• The fast Fourier transform (FFT)

• The adaptive filter

• Techniques for code optimization

Complete with ample DSP applications and projects, a related Web site, and a CD-ROM that contains all the programs discussed in the book, DSP Applications Using C and the TMS320C6x DSK is invaluable to senior and graduate students in electrical and computer engineering, as well as professional engineers and anyone conducting in-house tutorials or seminars on DSP.

Rudolf Graf and William Sheets have written a book containing twenty low-power (LP) transmitter projects, perfect for the electronics hobbyist and radio experimenter. Now that the FCC has changed its regulations about "pirate" transmissions, more and more people are setting up radio and video stations for broadcast from their homes. Build Your Own Low-Power Transmitters addresses applications for hobbyist broadcasting of AM, SSB, TV, FM Stereo and NBFM VHF-UHF signals with equipment the reader can build himself for thousands of dollars less than similar equipment sold on the retail market. The authors also fully explore the legal limits and ramifications of using the equipment as well as how to get the best performance for optimum range. The key advantage is referencing a low-cost source for all needed parts, including the printed circuit board, as well as the kit.

Projects in the book include: LP FM stereo transmitter; digitally synthesized PLL FM stereo transmitter; LP AM transmitter for 150-1710 KHz; radio control transmitter/receiver; carrier current transmitter and AM and FM receivers; LP VHF one-way and two-way audio links; 1-watt 40-meter CW transmitter for ham radio use; SSB LP transmitter for 10-meter ham radio use; 2-meter VHF FM ham radio transmitter; FM video link for 900 MHz NTSC/PAL operation; 2-watt TV transmitters for 440, 900 and 1300 MHz amateur TV NTSC/PAL transmissions; linear amplifier for 440MHz, 10-15watt NTSC/PAL operation; Downconverters for 440, 900 and 1300 MHz with VHF channel 3 or 4 output; TV video receiving systems and AM-FM IF systems; LP video link for UHF channels 14-18; 1-watt CW beacon transmitter for Part 15 LF radio experimentation; CW identifier for transmitters; test equipment projects for LP transmitters; as well as an RF power meter and modulation monitor.
Complete source information will be included to help each reader find the kits and parts they need to build these fascinating projects.
Unique among comparable project books, this one offers a low-cost source for all parts, including the printed circuit board. This allows immediate completion without needing to search for difficult to find parts
Features twenty low-power transmitter projects

This book contains papers presented at a special Symposium, Communications and Coding, held to celebrate the 60th birthday of Professor Paddy Farrell on 25th January 1998. Professor Farrell has made an outstanding contribution to the fields of digital communications in general, and error control in particular, with many significant publications and invited papers. The themes of the Symposium reflect Professor Farrell's specialist interests over the years: error control coding, encryption and sequence design, decoding of error control codes, signal processing in communications systems and communications systems and networks.

The worldwide growth in demand for electricity has forced the pace of developments in electrical power system design to meet consumer needs for reliable, secure and cheap supplies. Power system protection, as a technology essential to high quality supply, is widely recognised as a specialism of growing and often critical importance, in which power system needs and technological progress have combined to result in rapid developments in policy and practice in recent years. In the United Kingdom, the need for appropriate training in power system protection was recognised in the early 1960s with the launch of a correspondence course from which these books emerged and have since developed designed to meet the needs of protection staff throughout the world. The Electricity Training Association, in response to the important recent developments in the field of protection, have now commissioned an additional volume covering digital technology. The existing three volumes, of which this is the second, have been reviewed by leading authorities within the electricity supply industry and electrical manufacturing companies in the UK and, with the new fourth volume, the new edition gives a comprehensive and up-to-date treatment of the subject, covering theory, analytical and design principles, equipment design and application and protection management.

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 limitations, and the skills needed to take advantage of compressive sensing in wireless networks.

The worldwide growth in demand for electricity has forced the pace of developments in electrical power system design to meet consumer needs for reliable, secure and cheap supplies. Power system protection, as a technology essential to high quality supply, is widely recognised as a specialism of growing and often critical importance, in which power system needs and technological progress have combined to result in rapid developments in policy and practice in recent years. In the United Kingdom, the need for appropriate training in power system protection was recognised in the early 1960s with the launch of a correspondence course from which these books emerged and have since developed designed to meet the needs of protection staff throughout the world. The Electricity Training Association, in response to the important recent developments in the field of protection, have now commissioned an additional volume covering digital technology. The existing three volumes, of which this is the second, have been reviewed by leading authorities within the electricity supply industry and electrical manufacturing companies in the UK and, with the new fourth volume, the new edition gives a comprehensive and up-to-date treatment of the subject, covering theory, analytical and design principles, equipment design and application and protection management.

The worldwide growth in demand for electricity has forced the pace of developments in electrical power system design to meet consumer needs for reliable, secure and cheap supplies. Power system protection, as a technology essential to high quality supply, is widely recognised as a specialism of growing and often critical importance, in which power system needs and technological progress have combined to result in rapid developments in policy and practice in recent years. In the United Kingdom, the need for appropriate training in power system protection was recognised in the early 1960s with the launch of a correspondence course from which these books emerged and have since developed designed to meet the needs of protection staff throughout the world. The Electricity Training Association, in response to the important recent developments in the field of protection, have now commissioned an additional volume covering digital technology. The existing three volumes, of which this is the second, have been reviewed by leading authorities within the electricity supply industry and electrical manufacturing companies in the UK and, with the new fourth volume, the new edition gives a comprehensive and up-to-date treatment of the subject, covering theory, analytical and design principles, equipment design and application and protection management.

The worldwide growth in demand for electricity has forced the pace of developments in electrical power system design to meet consumer needs for reliable, secure and cheap supplies. Power system protection, as a technology essential to high quality supply, is widely recognised as a specialism of growing and often critical importance, in which power system needs and technological progress have combined to result in rapid developments in policy and practice in recent years. In the United Kingdom, the need for appropriate training in power system protection was recognised in the early 1960s with the launch of a correspondence course from which these books emerged and have since developed designed to meet the needs of protection staff throughout the world. The Electricity Training Association, in response to the important recent developments in the field of protection, have now commissioned an additional volume covering digital technology. The existing three volumes, of which this is the second, have been reviewed by leading authorities within the electricity supply industry and electrical manufacturing companies in the UK and, with the new fourth volume, the new edition gives a comprehensive and up-to-date treatment of the subject, covering theory, analytical and design principles, equipment design and application and protection management.

A distillation of technical material culled from key radar publications and conferences that have occurred over the past five years, this book provides access to the answers to common design problems with designer crib sheets. William Morchin has also written Airborne Early Warning Radar.