- Adaptive Signal Processing
- Adaptive and Array Signal Processing
- Adaptive Systems and Signal Processing
1. Adaptive Signal Processing
|1."Adaptive Filter Theory" by S Haykin|
Book Review: This book explains various concepts and algorithms pertaining to the field of adaptive filter theory. The book discusses fundamentals of discrete time signal processing, in depth understanding of adaptive filters, basics of wiener filters, least mean square algorithms, recursive least square algorithms and nonlinear adaptive filters. The book also includes various experiments that illustrate the theory and applications of LMS and RLS algorithms. The book is suitable for graduate courses in the field of adaptive signal processing.
|2."Adaptive Signal Processing" by B Widrow and S D Stearns|
“Adaptive Signal Processing” Book Review: This book offers a complete coverage of all the fundamental aspects of adaptive signal processing. An introduction to adaptive systems and adaptive linear combiner is followed by a thorough coverage of the theory of adaptation in stationary signals. Z-transform, LMS algorithms, adaptive lattice filters, and other adaptive algorithms and structures are also covered. The book concludes with a detailed breakdown of all the applications in the field, such as adaptive modeling and system identification, inverse adaptive modeling, deconvolution, and equalization, adaptive control systems, adaptive interference cancellation, adaptive arrays, adaptive beamforming, and analysis of adaptive beamformers. Numerous examples and worked out problems have been illustrated. Prerequisite knowledge of the basics of probability statistics, linear algebra, random processes, and digital signal processing is required.
|3."Adaptive Signal Processing: Next Generation Solutions" by Tülay Adali and Simon Haykin|
“Adaptive Signal Processing: Next Generation Solutions” Book Review: The book presents a set of algorithms with stress being laid of applications and advances in theory that produce the expected results. This book presents the next generation of algorithms that produce these desired results, with an emphasis on important applications and theoretical advancements. It addresses the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. It covers Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation and speech-bandwidth extension. The book first addresses the optimization problem in complex domain. The book also develops a framework that is based on complex valued processing. The book later focuses on multi channel processing challenges and complex valued signals. The book also covers the concepts of turbo processing, subspace domain, nonlinear sequential state estimation and speech bandwidth extension. The book is very useful for students and researchers working in the field of signal processing, sonar and biomedical engineering.
|4."Adaptive Signal Processing: Theory and Applications" by Alexander Thomas S Alexander|
“Adaptive Signal Processing: Theory and Applications” Book Review: This book explains about adaptive filters and its uses. The mathematical principles underlying adaptive signal processing is discussed. It seeks to be a bridge between the open literature in the professional journals and the graduate classroom and research environment where underlying principles are often more important. This book bridges the gap between the theoretical and practical aspects of adaptive signal processing. The book provides a comprehensive understanding of the underlying mathematical principles of adaptive signal processing in a concise manner. Applications of adaptive filters as standard components in telephony, data communications, and signal detection & tracking systems are also discussed in detail. The book also highlights the widespread consumer acceptance and future potential for research in this field.
|5."Advances in Network and Acoustic Echo Cancellation" by J. Benesty, D. R. Morgan, S. L. Gay, M. M. Sondhi, T. Gansler|
“Advances in Network and Acoustic Echo Cancellation” Book Review: This book provides a coherent treatment of the numerical aspects of optimization algorithms in network and acoustic echo cancellation and their practical implementations. A detailed discussion on algorithms which have increased convergence speed & computational efficiency, multi-channel capability, and improved detection of double-talk from near-end speech is also included in this volume. Applications of adaptive filtering in development, research, and production systems are also discussed. Individuals who wish to learn about enhancing the echo cancellation performance of next-generation telecommunication systems can refer to this book.
|6."Adaptive Processing of Brain Signals" by Saeid Sanei|
“Adaptive Processing of Brain Signals” Book Review: This book successfully extends the growing field of adaptive learning and processing to understanding and analyzing brain signals. Constrained nonlinear signal processing techniques which incorporate sparsity, non-stationarity, multimodal data, and multiway methods which detect, estimate, and separate diagnostic cues from different modality neuroimaging systems are covered in detail. EEG and MEG signals and their correlation to their corresponding fMRI are also discussed. Brain dynamics is examined for their ability to assess mental fatigue, brain-computer interfacing emotions, and various other brain activities. The book also highlights multimodal and multiway adaptive processing of brain signals as having potential for future research.
|7."Adaptive Control of Systems with Actuator and Sensor Nonlinearities" by Petar V Kokotovic Kokotovic Tao Gang Tao|
“Adaptive Control of Systems with Actuator and Sensor Nonlinearities” Book Review: This book offers verified techniques to increase the accuracy of different system components and control hard nonlinearities in frequently-employed control systems in both continuous time designs and discrete time designs as well as the input and output points of a linear part. Hysteresis, dead-zone, and backlash models along with their inverses have been explained using examples and diagrams to illustrate improvement in system performance. The book also systematically analyzes the model reference adaptive control theory, actuator and sensor nonlinearities, adaptive inverse design and implementation. Various applications in the fields of consumer electronics, piezo-positioners, satellite antennas, and industrial automation are also discussed. This book is intended for researchers, practicing engineers, and graduate students from the fields of electrical, mechanical, chemical, aeronautical and computer engineering.
|8."Adaptive Signal Processing in Wireless Communications" by Ibnkahla Mohamed|
“Adaptive Signal Processing in Wireless Communications” Book Review: This book reviews the adaptive techniques used at the physical layer of the wireless protocol stack by featuring the research of international experts. The book covers fundamental topics used in current and future generations of wireless communication systems such as adaptive channel modeling, adaptive modulation and coding, adaptive multiple-input-multiple-output (MIMO) systems, identification and equalization, and cooperative diversity. A detailed survey on reconfigurable processing, hardware implementation and cognitive radio is also included in this volume.
|9."Adaptive Signal Processing" by Davisson Longo|
“Adaptive Signal Processing” Book Review: This book addresses issues like autoregressive spectral estimation, adaptive source coding, etc. in four separate chapters. T.C. Butash and L.D. Davisson contributed to the first chapter by rendering the performance of an adaptive linear predictor in a series of theorems with and without the Gaussian assumption. In the second chapter, H.V. Poor analyzes the high-speed Levinson modeling, namely the robust predictor, and the approximate conditional mean nonlinear predictor for designing signal predictors under non-classical operating conditions. The fundamental techniques for detecting, localizing and beamforming multiple narrowband sources by passive sensor arrays is explained by W. Wax in the next chapter. A. Gersho’s last chapter elaborates some of the significant ideas underlying the algorithms used today.
|10."Adaptive Radar Signal Processing: Toward the Development of Cognitive Radar" by Simon Haykin|
“Adaptive Radar Signal Processing” Book Review: This book presents the author’s research of key issues related to the design of adaptive radar systems and its implications on remote sensing and defense-related signal processing. The first half of the book covers radar spectral analysis, spectrum estimation of received signal, low-angle tracking problem, and the multi-taper method. The second half deals with dynamic models of radar returns in a marine environment, different modeling approaches for the dynamics used to generate sea clutter, and a Bayesian framework generation for the detection-through-tracking of a target in the presence of sea clutter. Original source of the research is also provided. This book is suitable for all engineers involved with radar systems.
2. Adaptive and Array Signal Processing
|1."Methods of Signal Processing for Adaptive Antenna Arrays" by Larysa Titarenko and Alexander Barkalov|
“Methods of Signal Processing for Adaptive Antenna Arrays” Book Review: This book is designed for professionals, students and PhD students in the area of telecommunications. This book targets the development of effective algorithms of adaptive spatial signal processing (ASSP) with not exactly known parameters. It includes both probabilistic and deterministic approaches for synthesis of robust algorithms of ASSP. This is a monograph on development of ASSP. It is important for telecommunications and radio links. This can also be used for effective radio communications. Probabilistic and deterministic approach for synthesis of robust algorithms of ASSP are given. The book has problems with their solutions. They can be used for making Banach space operators. This book is for professionals, students and PhD students.
|2."Fundamentals of Adaptive Signal Processing (Signals and Communication Technology)" by Aurelio Uncini|
“Fundamentals of Adaptive Signal Processing (Signals and Communication Technology)” Book Review: The book combines theoretical and practical approach. It describes development of circuit structure. Examples of multimodal and multimedia communications are provided. The biological and biomedical fields and economic models are also included. Environmental sciences and acoustics are included. Telecommunications, remote sensing, and monitoring is included. The modeling and prediction of complex physical phenomena has also been explained. It helps to design and implement the algorithms. The text can be used for research purposes. It provides robust algorithms relevant to a wide variety of application scenarios. It explains multimodal and multimedia communications, the biological and biomedical fields, economic models and environmental sciences. It discusses acoustics, telecommunications, remote sensing, monitoring and in general, the modeling and prediction of complex physical phenomena. It helps to learn not only how to design and implement the algorithms but also how to evaluate their performance for specific applications utilizing the tools provided.
|3."Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing" by Dimitris G Manolakis and Vinay K Ingle|
“Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing” Book Review: This book is for electrical engineers. Adaptive signal processing is presented in a statistical and practical way. This book is written by experts in industry and academia. Spectral estimation, signal modeling and adaptive filtering is included. The book has examples, problems and experiments. Matlab functions are also included. The book has 3,000 equations and 300 illustrations.
|4."Academic Press Library in Signal Processing: Array and Statistical Signal Processing" by Sergios Theodoridis and Rama Chellappa|
“Academic Press Library in Signal Processing: Array and Statistical Signal Processing” Book Review: The book includes principles, methods and techniques of the subject. The book has tutorial reviews. Principles and their applications are also presented. There is reference of core principles, technologies and applications. Journal articles are also referenced.
|5."Handbook on Array Processing and Sensor Networks" by Simon Haykin and K J Ray Liu|
“Handbook on Array Processing and Sensor Networks” Book Review: The book is a collection of tutorial articles. The book has principles and applications. The book covers wavelets, spatial spectrum estimation and MIMO radio propagation. It includes robustness issues in sensor array processing. Wireless communications and sensing in multipath environments is described. This uses multi-antenna transceivers. Implicit training and array processing for digital communications systems is also described. It also includes unitary design of radar waveform diversity sets. Other important topics are also included. This book can be used by researchers, professors, and graduate students.
|6."Adaptive Array Antenna for Mobile and Satellite Communication" by Mainak Mukhopadhyay|
“Adaptive Array Antenna for Mobile and Satellite Communication” Book Review: The book is on spatial filtering methods. They use advanced antenna techniques and adaptive or smart antennas It helps to understand exploitation of spatial dimension. This can be done as a hybrid multiple access technique. This complements FDMA, TDMA and CDMA.
|7."Adaptive Filters: Theory and Applications" by Behrouz Farhang–Boroujeny|
“Adaptive Filters: Theory and Applications” Book Review: This book describes adaptive signal processing theoretically. New topics like transform domain and frequency domain, are included. It also includes subband adaptive filters and acoustic echo cancellation with active noise control. Applications are described in detail. The book also has exercises and computer simulation problems. New companion website hosting the MATLAB simulation program is included.
|8."Parallel Processing on VLSI Arrays" by Josef A Nossek|
“Parallel Processing on VLSI Arrays” Book Review: This book is a special issue of the Journal of VLSI Signal Processing. It includes eight contributions which were invited for publication. They were presented at a symposium. It was called The International Symposium on Circuits and Systems. Requirements of applications are presented in this book. The restrictions in architectural and circuit design are also addressed. They are presented in 3 sections. First is Simulation of continuous physical systems. Second is Systolic architectures for implementing regular and irregular algorithms in VLSI technology. Maxwell’s equations are used for basic ideas.
|9."Uniform Concentric Circular and Spherical Arrays with Frequency Invariant Characteristics" by Haihua Chen|
“Uniform Concentric Circular and Spherical Arrays with Frequency Invariant Characteristics” Book Review: This book is based on a dissertation. This was obtained from The University of Hong Kong. There has been no alternation or editing done on the contents. Formatting has been changed. It helps in printing and reading.
3. Adaptive Systems and Signal Processing
|1."Independent Component Analysis (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)" by Erkki Oja and Juha Karhunen|
“Independent Component Analysis (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)” Book Review: This book provides a comprehensive introduction to Independent Component Analysis (ICA). Neural networks, advanced statistics and signal processing are explained. It provides a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms. In-depth coverage of new applications in image processing, telecommunications, audio signal processing and more are also included. This book is divided into four sections that cover General mathematical concepts utilized in the book, The basic ICA model and its solution, Various extensions of the basic ICA model and Real-world applications for ICA models.
|2."Signal Processing for Intelligent Sensor Systems with MATLAB" by David C Swanson|
“Signal Processing for Intelligent Sensor Systems with MATLAB” Book Review: This book presents the key topics and salient information required for sensor design and application. It explains Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering. It discusses Wavenumber Sensor Systems and Signal Processing Applications. It includes retention of key algorithms and development methodologies and applications.
|3."Digital Signal Processing: With Selected Topics: Adaptive Systems, Time-frequency Analysis, Sparse Signal Processing" by Prof Ljubisa Stankovic|
“Digital Signal Processing: With Selected Topics: Adaptive Systems, Time-frequency Analysis, Sparse Signal Processing” Book Review: This book gives review of continuous-time signals and systems, through the world of digital signal processing, up to some of the most advanced theory and techniques in adaptive systems, time-frequency analysis and sparse signal processing. It provides simple examples and explanations for each, including the most complex transform, method, algorithm or approach presented in the book. The signal processing theory is illustrated on simple numerical examples. The book consists of three parts. After an introductory review part, the basic principles of digital signal processing are presented within Part two of the book. This part starts with Chapter two which deals with basic definitions, transforms, and properties of discrete-time signals. It provides the essential relation between continuous-time and discrete-time signals. Discrete Fourier transform and its applications to signal processing are the topics of the third chapter. The presentation is supported by numerous illustrations and examples. The theory is explained in a simple way with a necessary mathematical rigor. Part three of the book contains few selected topics in digital signal processing.
|4."Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing)" by Eugene Lavretsky and Kevin Wise|
“Robust and Adaptive Control: With Aerospace Applications (Advanced Textbooks in Control and Signal Processing)” Book Review: This book helps to produce consistent and accurate controllers that operate in the presence of uncertainties and unforeseen events. The focus of the book is primarily on continuous-dynamical systems. The book is divided into three parts beginning with robust and optimal linear control methods. Secondly moving on to a self-contained presentation of the design. Analysis of model reference adaptive control (MRAC) for nonlinear uncertain dynamical systems is the last one. Recent extensions and modifications to MRAC design are included. It provides case studies, detailed background material, realistic examples and simulation data and problem solutions for instructors and MATLAB code at the end of each chapter. The theoretical content and practical applications reported address real-life aerospace problems. This book methodically teaches senior undergraduate and graduate students how to construct stable and predictable control algorithms for realistic industrial applications.
|5."Stabilization and Regulation of Nonlinear Systems (Advanced Textbooks in Control and Signal Processing)" by Zhiyong Chen and Jie Huang|
“Stabilization and Regulation of Nonlinear Systems (Advanced Textbooks in Control and Signal Processing)” Book Review: This book is a systematic and self-contained treatment of the nonlinear stabilization and output regulation problems. It covers both fundamental concepts and advanced research outcomes. It includes many numerical and practical examples. It provides up-to-date instruction in the central design problems of nonlinear control. Many exercises are provided to facilitate study and solutions are freely available to instructors via a download from springerextras.com.
|6."Nonlinear and Adaptive Control Design" by Miroslav Krstic and Ioannis Kanellakopoulos|
“Nonlinear and Adaptive Control Design” Book Review: This book focuses on adaptive nonlinear control results introduced with the new recursive design methodology adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedback. It Uses a pedagogical style along with detailed proofs and illustrative examples. It opens a view to the largely unexplored area of nonlinear systems with uncertainties.