The most outstanding feature of this book is that it treats the design of filters that approximate a constant group delay, and both, the prescribed magnitude and group delay response of one-dimensional as well as two-dimensional digital filters. It so fills a void in the literature, that almost solely deals with the magnitude response of the filter transfer function. The volume contains many of the important results that have appeared in professional journals only recently.

DSP is utilized in just about every electronic system or device. DSP is taking one piece of information be it data, image, video, or audio, most likely compressing, sending, and filtering it to another location within your application to appear in the form of a document, picture or video.

Like Smith before it, this book is different to most on the market by following a popular applied approach to this tricky subject, and will be the perfect starting point for engineers who need to get into DSP from the ground floor. This book starts with the absolute basics of this integral process.

No experience is expected and with no prior knowledge taken for granted, a refresher chapter on complex numbers and trigonometry can be found at the very beginning of the material. Real-world worked examples, reference designs, and tools - including online applets that enable readers to visualize key principles - complete a package that will help engineers who that needs to learn anew or refresh their memory on this essential technology as they move to projects that require DSP familiarity.
Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you

Clear examples and a non-mathematical approach gets you up to speed with DSP

Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

This book presents watermarking algorithms derived from signal processing methods such as wavelet transform, matrix decomposition and cosine transform to address the limitations of current technologies. For each algorithm, mathematical foundations are explained with analysis conducted to evaluate performances on robotness and efficiency. Combining theories and practice, it is suitable for information security researchers and industrial engineers.

This reference provides an in-depth discussion of the theory and application of lapped transforms (LTs). It explains how LTs can lead to a better complexity/performance trade-off than other transforms or filter bands used in signal processing. The text addresses the increased use LTs, especially with HDTV and how they may become the standard for high-quality audio coding.

Low-power sensors and their applications in various fields ranging from military to civilian lives have made tremendous progress in the recent years. Low-power and extended battery life are the key focuses for long term, reliable and easy operation of these sensors. Sensors and Low Power Signal Processing provides a general overview of a sensor's working principle and a discussion of the emerging sensor technologies including chemical, electro-chemical and MEMS based sensors. Also included is a discussion on design challenges associated with low-power analog circuits and the schemes to overcome them. Finally, a short discussion of some of the simple wireless telemetry schemes best suited for low-power sensor applications and sensor packaging issues is discussed. Applications and sensor prototypes included are environmental monitoring, health care monitoring and issues related to the development of sensor prototypes and associated electronics to achieve high signal-to-noise ratio will also be presented.

The latest research and developments in robust adaptive beamforming
Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. There are also exciting emerging applications such as smart antennas for wireless communications, handheld ultrasound imaging systems, and directional hearing aids.
Robust Adaptive Beamforming compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The researchers define their theories, explain their methodologies, and present their conclusions. Methods presented include:
* Coupling the standard Capon beamformers with a spherical or ellipsoidal uncertainty set of the array steering vector
* Diagonal loading for finite sample size beamforming
* Mean-squared error beamforming for signal estimation
* Constant modulus beamforming
* Robust wideband beamforming using a steered adaptive beamformer to adapt the weight vector within a generalized sidelobe canceller formulation
Robust Adaptive Beamforming provides a truly up-to-date resource and reference for engineers, researchers, and graduate students in this promising, rapidly expanding field.

This book presents a synthesis of the research carried out in the Laboratory of Signal Processing and Communications (LaPSyC), CONICET, Universidad Nacional del Sur, Argentina, since 2003. It presents models and techniques widely used by the signal processing community, focusing on low-complexity methodologies that are scalable to different applications. It also highlights measures of the performance and impact of each compensation technique. The book is divided into three parts: 1) basic models 2) compensation techniques and 3) applications in advanced technologies. The first part addresses basic architectures of transceivers, their component blocks and modulation techniques. It also describes the performance to be taken into account, regardless of the distortions that need to be compensated. In the second part, several schemes of compensation and/or reduction of imperfections are explored, including linearization of power amplifiers, compensation of the characteristics of analog-to- digital converters and CFO compensation for OFDM modulation. The third and last part demonstrates the use of some of these techniques in modern wireless-communication systems, such as full-duplex transmission, massive MIMO schemes and Internet of Things applications.

Developing algorithms for multi-dimensional Fourier transforms, this book presents results that yield highly efficient code on a variety of vector and parallel computers. By emphasising the unified basis for the many approaches to both one-dimensional and multidimensional Fourier transforms, this book not only clarifies the fundamental similarities, but also shows how to exploit the differences in optimising implementations. It will thus be of great interest not only to applied mathematicians and computer scientists, but also to seismologists, high-energy physicists, crystallographers, and electrical engineers working on signal and image processing.

This book is addressed to newcomers to error control coding (ECC), making the subject easy to understand and to apply in a variety of cases. The book begins by presenting in a detailed, step-by-step manner the plethora of parts an ECC system has and the way they interact to achieve the performance required. Contrary to the more abstract and formal approach followed in most books on this topic, this book is unique in that all of the concepts, methods, techniques and algorithms are introduced by way of examples. Thus, the book is almost a workbook, and therefore very suitable for self-study. Readers are encouraged to take an active role while reading, performing calculations as chapters' progress. Moreover, to reinforce the learning process, many of the topics introduced in the book (Galois fields, Extended Hamming codes, Reed-Solomon codes, interleaving, erasure correction, etc.) are presented in various parts of the book in different ways or contexts. Offers a practical guide to error control coding, accessible to readers with varying backgrounds; Provides newcomers with a sound foundation in error control coding, using a select few topics considered by the author fundamental from an engineering point of view; Presents material with minimal mathematics; Motivates carefully concepts, methods and algorithms making clear the idea behind the conditions for the code to work.

This is an edited volume, written by well-recognized international researchers with extended chapter style versions of the best papers presented at the SITIS 2006 International Conference. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It introduces new results on video coding on time-honored topic of securing image information. The book is designed for a professional audience composed of practitioners and researchers in industry. This book is also suitable for advanced-level students in computer science.

All the design and development inspiration and direction an digital engineer needs in one blockbuster book! Kenton Williston, author, columnist, and editor of DSP DesignLine has selected the very best digital signal processing design material from the Newnes portfolio and has compiled it into this volume. The result is a book covering the gamut of DSP design?from design fundamentals to optimized multimedia techniques?with a strong pragmatic emphasis. In addition to specific design techniques and practices, this book also discusses various approaches to solving DSP design problems and how to successfully apply theory to actual design tasks. The material has been selected for its timelessness as well as for its relevance to contemporary embedded design issues.
CONTENTS:
Chapter 1 ADCs, DACs, and Sampling Theory
Chapter 2 Digital Filters
Chapter 3 Frequency Domain Processing
Chapter 4 Audio Coding
Chapter 5 Video Processing
Chapter 6 Modulation
Chapter 7 DSP Hardware Options
Chapter 8 DSP Processors and Fixed-Point Arithmetic
Chapter 9 Code Optimization and Resource Partitioning
Chapter 10 Testing and Debugging DSP Systems
*Hand-picked content selected by Kenton Williston, Editor of DSP DesignLine
*Proven best design practices for image, audio, and video processing
*Case histories and design examples get you off and running on your current project

Digital signal processing is commonplace in most electronics including MP3 players, HDTVs, and phones, just to name a few of the applications. The engineers creating these devices are in need of essential information at a moment's notice. The Instant Access Series provides all the critical content that a signal or communications engineer needs in his or her daily work.
This book provides an introduction to DSPs as well as succinct overviews of linear systems, digital filters, and digital compression. This book is filled with images, figures, tables, and easy to find tips and tricks for the engineer that needs material fast to complete projects to deadline.

*Tips and tricks feature that will help engineers get info fast and move on to the next issue
*Easily searchable content complete with tabs, chapter table of contents, bulleted lists, and boxed features
*Just the essentials, no need to page through material not needed for the current project

The evolution of eye tracking and brain-computer interfaces has given a new perspective on the control channels that can be used for interacting with computer applications. In this book leading researchers show how these technologies can be used as control channels with signal processing algorithms and interface adaptations to drive a human-computer interface. Topics included in the book include a comprehensive overview of eye-mind interaction incorporating algorithm and interface developments; modeling the (dis)abilities of people with motor impairment and their computer use requirements and expectations from assistive interfaces; and signal processing aspects including acquisition, preprocessing, enhancement, feature extraction, and classification of eye gaze, EEG (Steady-state visual evoked potentials, motor imagery and error-related potentials) and near-infrared spectroscopy (NIRS) signals. Finally, the book presents a comprehensive set of guidelines, with examples, for conducting evaluations to assess usability, performance, and feasibility of multi-model interfaces combining eye gaze and EEG based interaction algorithms. The contributors to this book are researchers, engineers, clinical experts, and industry practitioners who have collaborated on these topics, providing an interdisciplinary perspective on the underlying challenges of eye and mind interaction and outlining future directions in the field.

The accurate determination of the speech spectrum, particularly for short frames, is commonly pursued in diverse areas including speech processing, recognition, and acoustic phonetics. With this book the author makes the subject of spectrum analysis understandable to a wide audience, including those with a solid background in general signal processing and those without such background. In keeping with these goals, this is not a book that replaces or attempts to cover the material found in a general signal processing textbook. Some essential signal processing concepts are presented in the first chapter, but even there the concepts are presented in a generally understandable fashion as far as is possible. Throughout the book, the focus is on applications to speech analysis; mathematical theory is provided for completeness, but these developments are set off in boxes for the benefit of those readers with sufficient background. Other readers may proceed through the main text, where the key results and applications will be presented in general heuristic terms, and illustrated with software routines and practical "show-and-tell" discussions of the results. At some points, the book refers to and uses the implementations in the Praat speech analysis software package, which has the advantages that it is used by many scientists around the world, and it is free and open source software. At other points, special software routines have been developed and made available to complement the book, and these are provided in the Matlab programming language. If the reader has the basic Matlab package, he/she will be able to immediately implement the programs in that platform---no extra "toolboxes" are required.

The problems of analyzing and synthesizing musical timbres have been prevalent for over half a century, and a book length exploration of this large and complex subject has been long overdue. Analysis, Synthesis, and Perception of Musical Sounds: Sound of Music consists of eight chapters that span the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All of the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity but is of sufficient utility to be adapted to many different tasks. The authors represent an international community of researchers and teachers in the field of analysis/synthesis/perception, and this book reflects the important trends and interests current in the subject. Due to its breadth, students will find the book a thorough introduction to current thinking and implementation of additive sine wave timbral models. Researchers new to the field will find a canvas of applications with citations to the relevant literature, which will also benefit the teacher searching for an effective syllabus.Due to its scope, Analysis, Synthesis, and Perception of Musical Sounds will become the standard reference in the field and will be seen as the catalyst for exciting research in the years ahead.

Thewritingofthisbookhasbeeninspiredbytheexperienceofteachinga courseonDetectionandSignalProcessingtograduatestudentsoveraperiod ofmanyyears. Itwasstrikingthatstudentswerenotonlyfascinatedbythe variousdetectionprinciplesandtechnicalperformancesofpracticalsystems, butalsobytheprofessionalismoftheinvolved typical physicalengine- ing. Usuallystudentsarethoroughlytaughtindi?erentcoursesofphysics, whicharemostlystudiedasisolated?elds. Thecourseondetectionands- nalprocessingisbasedontypicalresultsthatwereestablishedindi?erent disciplines like optics, solid state physics, thermodynamics, mathematical statistics,Fouriertransforms,andelectroniccircuitry. Theirsimultaneousand interdependentapplicationbroadenstheinsightofmutualrelationsinthev- ious?elds. Forinstancethe?uctuationsofthermalbackgroundradiationcan bederivedeitherwiththeblackbodytheoryorindependentlywithther- dynamicstoarriveatthesameresult. AlsotheappliedFourierrelationsin thefrequencyandtimedomainsarenolongerabstractmathematicalman- ulationsbutpracticaltoolsandprobablyeasiertounderstandintheapplied technique. Estimatesoftheorderofmagnitudeswithcomparisonofrelevant physicale?ectsnecessarybydesigningadeviceareveryinstructive. Ingeneral theachievementsofvariousdisciplinesarebroughttogethertodesignandto evaluatequantitativelythetechnicalperformancesofdetectiontechniques. Thustheinterestfordetectionandsignalprocessingisbothtolearnthe knowledgefordesigningpracticaldetectionsystemsandtogetacquainted withthethinkingofphysicalengineering. The?rstpartofthebookisdevotedtonoisephenomenaandradiation detectors. Fundamentaldescriptionswithquantitativeanalysesoftheund- lyingphysicalprocessesofbothdetectorsandaccompanyingnoiseleadto understandthepotentialswithrespecttosensitivityandoperatingfrequency domain. Thesecondpartdealswithampli?cationproblemsandtherecovery ofrepetitivesignalsburiedinnoise. Thelastpartisdevotedtosolvingthe problemsconnectedwithreachingtheultimatedetectionlimitorquantum limit. Thisisdoneforheterodynedetectionandphotoncounting. Although VIII Preface heterodynedetectionyieldstheultimatesensitivity,itsspatialmodesel- tivityand,ingeneral,thelowspectralpowerdensityofthesignalrequire sophisticatedprovisions. Thisisdiscussedindetail. Theinherentproblemsare analyzedandappropriatetechnicalsolutionsaredescribedtoreachtheul- matesensitivityfordetectingincoherentradiationandcommunicationsignals thatarerandomlyDopplershifted. Theresultsareillustratedwithexamples ofspacecommunication. Hengelo(O),January2006 W. J. Witteman Contents 1 RandomFluctuations...1 1. 1 Introduction...1 1. 2 ThermalNoiseofResistance...2 1. 3 ShotNoise...5 1. 3. 1 SpectralDistribution ...6 1. 3. 2 Photons...10 1. 4 FlickerNoise...10 1. 5 Generation-RecombinationNoise...10 1. 6 ThermalRadiationandItsFluctuations...13 1. 7 TemperatureFluctuationsofSmallBodies...18 1. 7. 1 AbsorptionandEmissionFluctuations...20 2 Signal-NoiseRelations...21 2. 1 SignalLimitation...22 2. 2 BackgroundLimitation...22 2. 2. 1 IdealDetection...24 2. 3 JohnsonNoise...27 2. 4 DarkCurrentNoise...27 2. 5 NoiseandSensitivity...28 2. 6 Ampli?erNoiseandMismatching...28 3 ThermalDetectors...31 3. 1 ThermocoupleandThermopile...31 3. 2 Bolometer...36 3. 2. 1 MetallicBolometer...39 3. 2. 2 Thermistor...40 3. 3 PyroelectricDetector...44 4 VacuumPhotodetectors...51 4. 1 VacuumPhotodiode...52 4. 2 Photomultiplier...56 X Contents 5 SemiconductorPhotodetectors...61 5. 1 Photoconductors...6 1 5. 1. 1 AnalysisoftheDetectionProcess...64 5. 1. 2 FrequencyResponse ...69 5. 2 Photodiodes...69 5. 2. 1 P-NJunction...70 5. 2. 2 Current-VoltageCharacteristic...72 5. 2. 3 PhotonExcitation...75 5. 2. 4 OperationalModes...79 5. 2. 5 OpenCircuit ...80 5. 2. 6 CurrentCircuit...82 5. 2. 7 Reverse-BiasedCircuit...83 5. 3 AvalanchePhotodiodes...

Designed for information systems professionals, including IS, DP, MIS, LAN, and systems managers, this text provides a source of introductory information for those involved with decision-making processes related to information systems. Suitable as a University course text in MIS programs, the book also covers the subject in sufficient detail for the more technically orientated. This text describes how to reap the benefits of improved efficiency and productivity through the use of document imaging systems that reduce access time and enhance document integrity.

This book is the first to examine the use of electrooptic architectures and high-resolution encoding techniques that directly digitize wideband signals in a digital receiver. It explains new symmetrical number system (SNS) signal processing techniques you can easily apply to designs using symmetrical folding wave-forms, providing you a high-performance framework for getting optimum results from such systems.

Software Included! Provides simulations of architectures discussed in the book. System Requirements: Pentium PC. Windows 95 or later. 256K, 50MB hard disk space, MatLab 5.3 and Simulink 3.0.

This book describes methods to design distributed amplifiers useful for performing circuit functions such as duplexing, paraphrase amplification, phase shifting power splitting and power combiner applications. A CMOS bidirectional distributed amplifier is presented that combines for the first time device-level with circuit-level linearization, suppressing the third-order intermodulation distortion. It is implemented in 0.13um RF CMOS technology for use in highly-linear, low-cost UWB Radio-over-Fiber communication systems."

Lamb waves are guided waves that propagate in thin plate or shell structures. There has been a clear increase of interest in using Lamb waves for identifying structural damage, entailing intensive research and development in this field over the past two decades. Now on the verge of maturity for diverse engineering applications, this emerging technique serves as an encouraging candidate for facilitating continuous and automated surveillance of the integrity of engineering structures in a cost-effective manner. In comparison with conventional nondestructive evaluation techniques such as ultrasonic scanning and radiography which have been well developed over half a century, damage identification using Lamb waves is in a stage of burgeoning development, presenting a number of technical challenges in application that need to be addressed and circumvented. It is these two aspects that have encouraged us to write this book, with the intention of consolidating the knowledge and know-how in the field of Lamb-wave-based damage identification, and of promoting widespread attention to mature application of this technique in the practical engineering sphere. This book provides a comprehensive description of key facets of damage identification technique using Lamb waves, based on the authors' knowledge, comprehension and experience, ranging from fundamental theory through case studies to engineering applications.

In the last two decades, the field of time-frequency analysis has evolved into a widely recognized and applied discipline of signal processing. Besides linear time-frequency representations such as the short-time Fourier transform, the Gabor transform, and the wavelet transform, an important contribution to this development has undoubtedly been the Wigner distribution (WD) which holds an exceptional position within the field of bilinear/quadratic time-frequency representations.

The WD was first defined in quantum mechanics as early as 1932 by the later Nobel laureate E. Wigner. In 1948, J. Ville introduced this concept in signal analysis. Based on investigations of its mathematical structure and properties by N.G. de Bruijn in 1967, the WD was brought to the attention of a larger signal processing community in 1980. The WD was soon recognized to be important for two reasons: firstly, it provides a powerful theoretical basis for quadratic time-frequency analysis; secondly, its discrete-time form (supplemented by suitable windowing and smoothing) is an eminently practical signal analysis tool.

The seven chapters of this book cover a wide range of different aspects of the WD and other linear time-frequency distributions: properties such as positivity, spread, and interference term geometry; signal synthesis methods and their application to signal design, time-frequency filtering, and signal separation; WD based analysis of nonstationary random processes; singular value decompositions and their application to WD based detection and classification; and optical applications of the WD. The size of the chapters has been chosen such that an in-depth treatment of the various topics isachieved.

The problem of noise immunity is a key problem for complex signal processing systems research in science and engineering. New approaches to such problems allow the development of a better quality of signal detection in noise.

This book is devoted to a new generalized approach to signal detection theory. The main purpose is to present the basic fundamental concepts of the generalized approach to signal processing in noise and to show how it may be applied in various areas of signal processing. The generalized approach allows extension of the well-known boundaries of the potential noise immunity set up by classical and modern signal detection theories. New approaches for construction of detectors with the amplitude, frequency, and phase tracking systems based on the generalized approach are presented.

Features and Topics:

* New approaches to the statistical theory of signal detection

* New features of signal detection based on experimental study

* More rigorous definition of potential noise immunity

* Chapter summaries and an analsys of recent observations obtained by computer modeling and experiment

* Particularly useful applications for detection problems in radar, communications, wireless communications, acoustics, remote sensing, sonar, underwater signal processing, geophysical signal processing, and biomedical signal processing.

The book is an excellent resource for understanding and solving problems in modern signal detection theories. Professionals, scientists, engineers, and researchers in electrical engineering, computer science, geophysics, and applied mathematics will benefit from using the techniques presented.

This text/reference provides background for those new to the field, gives numerous problems sets and practical examples, and discusses computer aided design and analysis. Annotation copyright Book News, Inc. Portland, Or.

This book is dedicated to Prof. Dr. Heinz Gerhauser on the occasion of his retirement both from the position of Executive Director of the Fraunhofer Institute for Integrated Circuits IIS and from the Endowed Chair of Information Technologies with a Focus on Communication Electronics (LIKE) at the Friedrich-Alexander-Universitat Erlangen-Nurnberg. Heinz Gerhauser's vision and entrepreneurial spirit have made the Fraunhofer IIS one of the most successful and renowned German research institutions. He has been Director of the Fraunhofer IIS since 1993, and under his leadership it has grown to become the largest of Germany's 60 Fraunhofer Institutes, a position it retains to this day, currently employing over 730 staff. Likely his most important scientific as well as application-related contribution was his pivotal role in the development of the mp3 format, which would later become a worldwide success. The contributions to this Festschrift were written by both Fraunhofer IIS staff and external project team members in appreciation of Prof. Dr. Gerhauser's lifetime academic achievements and his inspiring leadership at the Fraunhofer IIS. The papers reflect the broad spectrum of the institute's research activities and are grouped into sections on circuits, information systems, visual computing, and audio and multimedia. They provide academic and industrial researchers in fields like signal processing, sensor networks, microelectronics, and integrated circuits with an up-to-date overview of research results that have a huge potential for cutting-edge industrial applications.

By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques based on bispectral methods. Improved robustness against different forms of noise as well as preservation of phase information render this method a valuable alternative to common power-spectrum analysis used in radar object recognition, digital wireless communications, and jitter removal in images.