Digital signal processing (DSP) has been applied to a very wide range of applications. This includes voice processing, image processing, digital communications, the transfer of data over the internet, image and data compression, etc. Engineers who develop DSP applications today, and in the future, will need to address many implementation issues including mapping algorithms to computational structures, computational efficiency, power dissipation, the effects of finite precision arithmetic, throughput and hardware implementation. It is not practical to cover all of these in a single text. However, this text emphasizes the practical implementation of DSP algorithms as well as the fundamental theories and analytical procedures that form the basis for modern DSP applications. Digital Signal Processing: Principles, Algorithms and System Design provides an introduction to the principals of digital signal processing along with a balanced analytical and practical treatment of algorithms and applications for digital signal processing. It is intended to serve as a suitable text for a one semester junior or senior level undergraduate course. It is also intended for use in a following one semester first-year graduate level course in digital signal processing. It may also be used as a reference by professionals involved in the design of embedded computer systems, application specific integrated circuits or special purpose computer systems for digital signal processing, multimedia, communications, or image processing.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Master the Signal Processing Concepts and Techniques Needed to Design and Operate Any Wireless Communications Network Signal Processing for Wireless Communications offers communications engineers an application-focused guide to the essential concepts and techniques of wireless signal processing. This comprehensive reference examines the role that key algorithms and standard migration paths play in the design and day-to-day operations of today's state-of-the-art wireless networks. Written by Dr. Joseph Boccuzzi, a leading signal processing expert with years of product development, research, and teaching experience, this on-target engineering tool takes readers step by step through major wireless topics...modulation theory...wireless multipath channel...modulation detection methods...performance improvement techniques...receiver digital signal processing...3G wideband CDMA...computer simulation estimation techniques...and 3G and beyond. Designed to bring engineers up to speed on the latest breakthroughs in signal processing technology, Signal Processing for Wireless Communications features: Expert coverage of 3G wideband CDMA Discussion of the role OFDM will play in future technologies Complete information on the role of vital signal processing algorithms within the context of wireless applications Discussions of advanced signal processing challenges in the mobile environment Over 500 detailed illustrations Inside This Hands-On Signal Processing Guide * Wireless Topics * Modulation Theory * Wireless Multipath Channel * Modulation Detection Techniques * Performance Improvement Techniques * Receiver Digital Signal Processing * 3G Wideband CDMA * Computer Simulation Estimation Techniques * 3G and Beyond

Discover the Applicability, Benefits, and Potential of New Technologies

As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar, radar, and non-invasive medical diagnostics systems, cutting-edge military and defense research has established conceptual similarities in these areas. Now civilian enterprises can use government innovations to facilitate optimal functionality of complex real-time systems. Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications.

Learn from a Renowned Defense Scientist, Researcher, and Innovator

The author preserves the mathematical focus and key information from the first edition that provided invaluable coverage of topics including adaptive systems, advanced beamformers, and volume visualization methods in medicine. Integrating the best features of non-linear and conventional algorithms and explaining their application in PC-based architectures, this text contains new data on:

• Advances in biometrics, image segmentation, registration, and fusion techniques for 3D/4D ultrasound, CT, and MRI
• Fully digital 3D/ (4D: 3D+time) ultrasound system technology, computing architecture requirements, and relevant implementation issues
• State-of-the-art non-invasive medical procedures, non-destructive 3D tomography imaging and biometrics, and monitoring of vital signs
• Cardiac motion correction in multi-slice X-ray CT imaging
• Space-time adaptive processing and detection of targets interference-intense backgrounds comprised of clutter and jamming

With its detailed explanation of adaptive, synthetic-aperture, and fusion-processing schemes with near-instantaneous convergence in 2-D and 3-D sensors (including planar, circular, cylindrical, and spherical arrays), the quality and illustration of this text s concepts and techniques will make it a favored reference.

Digital Signal Processing: Concepts and Applications, second edition covers the basic principles and operation of DSP devices. Its aim is to give the student the essentials of this mathematical subject in a form that can be easily understood and assimilated. The text concentrates on discrete systems, starting from digital filters and discrete Fourier transforms. These are then extended into adaptive filters and spectrum analysers with the minimum of mathematical derivation, concentrating on demonstrating the performance which is achievable from these processors in communications and radar system applications. This new edition has been updated to include learning outcomes and summaries and provide more examples. The text has been completely redesigned and is presented in a clear and easy-to-read style. Key features: * Self assessment questions within the text, with answers provided * Numerous practical worked examples on processor design and performance simulation<* MATLAB (R) code for animated simulations available to students via World Wide Web access This textbook is appropriate for undergraduate and MSc courses in signals and systems and signal processing, and for professional engineers who wish to have a simple, easy-to-read reference book on DSP techniques.

Get a working knowledge of digital signal processing for computer science applications

The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today’s cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides:

• A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature
• Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language
• Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors
• A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications
• More than 200 illustrations as well as an appendix containing the essential mathematical background

Interest in the applications of ultrawideband (UWB) radar systems is increasing rapidly all over the world. This is evident from the number of monographs recently published on the subject and from the many papers presented at international conferences on the general problems involved in UWB radar and on its promising new applications. Conventional (classical) methods seem to have exhausted their potential and studies in the field are undergoing a profound change. This book presents some of the novel approaches to radar system analysis now being investigated. A good source of information on UWB signals is their structural analysis in the time domain. This allows a greater understanding of the specific features of UWB radar systems, such as the properties of receiving and transmitting antennas, and various characteristics of near- and far-range target scattering fields. It is shown how the systematic application of numerical procedures can provide new results in the evaluation of UWB radar target responses. The authors do not try to cover all of the possible solutions to the problem of multidimensional representation of target responses; rather they aim to give a general understanding of the techniques of confluent analysis, computer holography and adaptive synthesis of antenna apertures. These methods have great potential for solving conventional radar problems in target detection and recognition, and they are sure to stimulate the use of UWB signals in many fields such as subsurface probing and ecological monitoring.

Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal processing theory. Readers will learn this new approach to constructing the unified mathematical fundamentals of both information theory and signal processing theory in addition to new methods of evaluating quality indices of signal processing. The book discusses the methodology of synthesis and analysis of signal processing algorithms providing qualitative increase of signal processing efficiency under parametric and nonparametric prior uncertainty conditions. Examples are included throughout the book to further emphasize new material.

A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research. It encompasses both algorithms and architectures, providing detailed coverage of practical techniques by leading researchers. From an algorithms perspective, blind and non-blind approaches are discussed, including the use of single or multiple images; projective motion blur model; image priors and parametric models; high dynamic range imaging in the irradiance domain; and image recognition in blur. Performance limits for motion deblurring cameras are also presented. From a systems perspective, hybrid frameworks combining low-resolution-high-speed and high-resolution-low-speed cameras are described, along with the use of inertial sensors and coded exposure cameras. Also covered is an architecture exploiting compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields.

This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning.It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs.All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts.The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.

This textbook provides comprehensive coverage for courses in the basics of design and implementation of digital filters. The book assumes only basic knowledge in digital signal processing and covers state-of-the-art methods for digital filter design and provides a simple route for the readers to design their own filters. The advanced mathematics that is required for the filter design is minimized by providing an extensive MATLAB toolbox with over 300 files. The book presents over 200 design examples with MATLAB code and over 300 problems to be solved by the reader. The students can design and modify the code for their use. The book and the design examples cover almost all known design methods of frequency-selective digital filters as well as some of the authors' own, unique techniques.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Up-to-date digital filter design principles, techniques, and applications Written by a Life Fellow of the IEEE, this comprehensive textbook teaches digital filter design, realization, and implementation and provides detailed illustrations and real-world applications of digital filters to signal processing. Digital Filters: Analysis, Design, and Signal Processing Applications provides a solid foundation in the fundamentals and concepts of DSP and continues with state-of-the-art methodologies and algorithms for the design of digital filters. You will get clear explanations of key topics such as spectral analysis, discrete-time systems, and the sampling process. This hands-on resource is supported by a rich collection of online materials which include PDF presentations, detailed solutions of the end-of-chapter problems, MATLAB programs that can be used to analyze and design digital filters of professional quality, and also the author's DSP software D-Filter. Coverage includes: *Discrete-time systems *The Fourier series and transform *The Z transform *Application of transform theory to systems *The sampling process *The discrete Fourier transform *The window technique *Realization of digital filters *Design of recursive and nonrecursive filters *Approximations for analog filters *Recursive filters satisfying prescribed specifications *Effects of finite word length on digital filters *Design of recursive and nonrecursive filters using optimization methods *Wave digital filters *Signal processing applications

Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms.

From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book:

• Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory
• Emphasizes the link between supervised and unsupervised processing from the perspective of linear prediction and constrained filtering theory
• Addresses key issues concerning equilibrium solutions and equivalence relationships in the context of unsupervised equalization criteria
• Provides a systematic presentation of source separation and independent component analysis
• Discusses some instigating connections between the filtering problem and computational intelligence approaches.

Building on more than a decade of the authors work at DSPCom laboratory, this book applies a fresh conceptual treatment and mathematical formalism to important existing topics. The result is perhaps the first unified presentation of unsupervised signal processing techniques one that addresses areas including digital filters, adaptive methods, and statistical signal processing. With its remarkable synthesis of the field, this book provides a new vision to stimulate progress and contribute to the advent of more useful, efficient, and friendly intelligent systems.

Now available in a three-volume set, this updated and expanded edition of the bestselling Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, The Digital Signal Processing Handbook, Second Edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. The three-volume set draws on the experience of leading engineers, researchers, and scholars and includes 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications. Each volume in the set is also available individually ... Emphasizing theoretical concepts, Digital Signal Processing Fundamentals (Catalog no. 46063) provides comprehensive coverage of the basic foundations of DSP. Coverage includes: Signals and Systems, Signal Representation and Quantization, Fourier Transforms, Digital Filtering, Statistical Signal Processing, Adaptive Filtering, Inverse Problems and Signal Reconstruction, and Time-Frequency and Multirate Signal Processing. Wireless, Networking, Radar, Sensor Array Processing, and Nonlinear Signal Processing (Catalog no. 46047) thoroughly covers the foundations of signal processing related to wireless, radar, space-time coding, and mobile communications together with associated applications to networking, storage, and communications. Video, Speech, and Audio Signal Processing and Associated Standards, (Catalog no. 4608X) details the basic foundations of speech, audio, image, and video processing and associated applications to broadcast, storage, search and retrieval, and communications.

What makes this book unique is that besides information on image processing of objects to yield knowledge, the author has devoted a lot of thought to the measurement factor of image processing. This is of direct practical use in numerous sectors from industrial quality and robotics to medicine and biology.

The authors explore an intersection of number theory, digital signal processing and coding theory. Focusing on the design of number theory based on computationally efficient digital signal processing algorithms, error control techniques and their relationships over a ring of integers, this is the first book to focus on algorithms for processing of data sequences defined over finite integer rings, rather than defined over a field.
The authors have developed a deep understanding of the fundamental role that number theory plays in the design of fast algorithms for performing computationally intensive tasks in digital signal processing. This understanding led them to derive a significant body of new research results in number theory, digital signal processing, residue number systems, and error control coding techniques. They present these results-with necessary background theory-for mathematicians, computer scientists, and engineers working in number theory, computer arithmetic, fault-tolerant computing, digital signal processing, VLSI design, and coding theory.

Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical equipment to weapon systems. It makes the difference between dumb and intelligent systems. This book is organized into five parts: (1) Introduction, which contains an account of Prof. Constantinides' contribution to the field and brief summaries of the remaining chapters of this festschrift, (2) Digital Filters and Transforms, which covers efficient digital filtering techniques for improving signal quality, (3) Signal Processing, which provides an insight into fundamental theories, (4) Communications, which deals with some important applications of signal processing techniques, and (5) Finale, which contains a discussion on the impact of digital signal processing on our society and the closing remarks on this festschrift.

Culled from the pages of CRC's highly successful, best-selling The Circuits and Filters Handbook, Second Edition, Passive, Active, and Digital Filters presents a sharply focused, comprehensive review of the fundamental theory behind professional applications of these complex filters. It supplies a concise, convenient reference to the key concepts, models, and equations necessary to analyze, design, and predict the behavior of large-scale systems that employ various types of filters, illustrated by frequent examples. Edited by a distinguished authority, this book emphasizes the theoretical concepts underlying the processes, behavior, and operation of these filters. More than 470 figures and tables illustrate the concepts, and where necessary, the theories, principles, and mathematics of some subjects are reviewed. Expert contributors discuss general characteristics of filters, frequency transformations, sensitivity and selectivity, low-gain active filters, higher-order filters, continuous-time integrated filters, FIR and IIR filters, and VLSI implementation of digital filters, among many other topics. Passive, Active, and Digital Filters builds a strong theoretical foundation for the design and analysis of a variety of filters, from passive to active to digital, while serving as a handy reference for experienced engineers, making it a must-have for both beginners and seasoned experts.

Communications, Signal Processing, and Systems is a collection of contributions coming out of the International Conference on Communications, Signal Processing, and Systems (CSPS) held August 2012. This book provides the state-of-art developments of Communications, Signal Processing, and Systems, and their interactions in multidisciplinary fields, such as audio and acoustic signal processing. The book also examines Radar Systems, Chaos Systems, Visual Signal Processing and Communications and VLSI Systems and Applications. Written by experts and students in the fields of Communications, Signal Processing, and Systems.

A set of four volumes compiled by leading authorities in the electricity supply industry and manufacturing companies to provide a comprehensive treatment of power system protection.

Genomic Analysis Using Digital Signal Processing presents some of the recent advances and challenges in signal processing analysis of genomic sequences, showing how the use of signal processing tools can offer interpretation for the study of genomics and biological function. The book covers several major areas, including mapping the problem, noise in genomic signals, segmentation and signal processing tools, and applications of genomic signal processing. Researchers and graduate students in signal processing, biomedical engineering and bioinformatics will find this book a very useful reference on how signal processing methods can be used for genomic analysis.

Discrete Time Optical Signal Processing provides an introduction to the basic principles, enabling technologies, and methods for the analysis and synthesis and applications of optical filters that process signals in the time domain. These structures are finding increasing applications in the fields of broadband optical communications, sensing, radar, microwaves, and avionics.

Researchers, engineers, and scientists with diverse backgrounds working in these fields require an updated and modern approach to the subject and this book is aimed at providing this coverage by exploiting the well known techniques of discrete time signal processing and applying them directly to the field of optical filters. In this way the interested reader is able to understand and master this technology while avoiding the complex formulation of classical optics.

Both finite (FIR) and infinite impulse response (IIR) filters working in coherent and incoherent regimes are considered in this subject-focused text.

Fundamentals of MEG and EEG: Biophysics, Instrumentation, and Data Analysis gives graduate students and researchers a technical understanding of the fundamentals of MEG and EEG that will enable them to gain expertise in the state-of-the-art, understand the generation, measurement and modeling of electromagnetic brain signals, understand the relationship of MEG/EEG with other brain imaging methods, design MEG/EEG measurement systems and evaluate their performance, and develop and evaluate data analysis methods.

The proposed work is a joint International conference on the topics of Computer, Electrical and Electronics. Communication networks, Computing and Electronics are advancing to a new era to support the unprecedented growth of the internet and cellular network usage for communications, information services and power technologies. Therefore, the aim of CSA and SPC 2015 is to ensemble world-class researchers to share their ideas and progress on solving the future challenges that the Communication networks, Computing and Electronics face. The main objective of this joint international conference is to promote research and developmental activities in Communication, Computing and Power Electronics.