Principles Of Adaptive Filters And Self Learning Systems PDF Download
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Author | : Anthony Zaknich |
Publisher | : Springer Science & Business Media |
Total Pages | : 412 |
Release | : 2005-04-25 |
Genre | : Technology & Engineering |
ISBN | : 9781852339845 |
Download Principles of Adaptive Filters and Self-learning Systems Book in PDF, ePub and Kindle
Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems
Author | : Anthony Zaknich |
Publisher | : Springer Science & Business Media |
Total Pages | : 397 |
Release | : 2005-08-19 |
Genre | : Technology & Engineering |
ISBN | : 1846281210 |
Download Principles of Adaptive Filters and Self-learning Systems Book in PDF, ePub and Kindle
Teaches students about classical and nonclassical adaptive systems within one pair of covers Helps tutors with time-saving course plans, ready-made practical assignments and examination guidance The recently developed "practical sub-space adaptive filter" allows the reader to combine any set of classical and/or non-classical adaptive systems to form a powerful technology for solving complex nonlinear problems
Author | : Weifeng Liu |
Publisher | : John Wiley & Sons |
Total Pages | : 167 |
Release | : 2011-09-20 |
Genre | : Science |
ISBN | : 1118211219 |
Download Kernel Adaptive Filtering Book in PDF, ePub and Kindle
Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters—their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Author | : Ali H. Sayed |
Publisher | : John Wiley & Sons |
Total Pages | : 1172 |
Release | : 2003-06-13 |
Genre | : Science |
ISBN | : 0471461261 |
Download Fundamentals of Adaptive Filtering Book in PDF, ePub and Kindle
This book is based on a graduate level course offered by the author at UCLA and has been classed tested there and at other universities over a number of years. This will be the most comprehensive book on the market today providing instructors a wide choice in designing their courses. * Offers computer problems to illustrate real life applications for students and professionals alike * An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Author | : Ajith Abraham |
Publisher | : Springer |
Total Pages | : 1076 |
Release | : 2018-03-21 |
Genre | : Technology & Engineering |
ISBN | : 3319763482 |
Download Intelligent Systems Design and Applications Book in PDF, ePub and Kindle
This book highlights recent research on intelligent systems design and applications. It presents 100 selected papers from the 17th International Conference on Intelligent Systems Design and Applications (ISDA 2017), which was held in Delhi, India from December 14 to 16, 2017. The ISDA is a premier conference in the field of Computational Intelligence and brings together researchers, engineers and practitioners whose work involves intelligent systems and their applications in industry and the real world. Including contributions by authors from over 30 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.
Author | : Paulo Sergio Ramirez Diniz |
Publisher | : Springer Science & Business Media |
Total Pages | : 594 |
Release | : 2002 |
Genre | : Adaptive filters |
ISBN | : 9781402071256 |
Download Adaptive Filtering Book in PDF, ePub and Kindle
Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference. This second edition contains a substantial amount of new material: -Two new chapters on nonlinear and subband adaptive filtering; -Linearly constrained Weiner filters and LMS algorithms; -LMS algorithm behavior in fast adaptation; -Affine projection algorithms; -Derivation smoothing; -MATLAB codes for algorithms. An instructor's manual, a set of master transparencies, and the MATLAB codes for all of the algorithms described in the text are also available. Useful to both professional researchers and students, the text includes 185 problems; over 38 examples, and over 130 illustrations. It is of primary interest to those working in signal processing, communications, and circuits and systems. It will also be of interest to those working in power systems, networks, learning systems, and intelligent systems.
Author | : Xiao-Zhi Gao |
Publisher | : Springer Nature |
Total Pages | : 558 |
Release | : 2020-06-18 |
Genre | : Technology & Engineering |
ISBN | : 9811512752 |
Download Advances in Computational Intelligence and Communication Technology Book in PDF, ePub and Kindle
This book features high-quality papers presented at the International Conference on Computational Intelligence and Communication Technology (CICT 2019) organized by ABES Engineering College, Ghaziabad, India, and held from February 22 to 23, 2019. It includes the latest advances and research findings in fields of computational science and communication such as communication & networking, web & informatics, hardware and software designs, distributed & parallel processing, advanced software engineering, advanced database management systems and bioinformatics. As such, it is of interest to research scholars, students, and engineers around the globe.
Author | : Danilo P. Mandic |
Publisher | : John Wiley & Sons |
Total Pages | : 344 |
Release | : 2009-04-20 |
Genre | : Science |
ISBN | : 0470742631 |
Download Complex Valued Nonlinear Adaptive Filters Book in PDF, ePub and Kindle
This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.
Author | : Ali H. Sayed |
Publisher | : John Wiley & Sons |
Total Pages | : 824 |
Release | : 2011-10-11 |
Genre | : Science |
ISBN | : 1118210840 |
Download Adaptive Filters Book in PDF, ePub and Kindle
Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. This book enables readers to gain a gradual and solid introduction to the subject, its applications to a variety of topical problems, existing limitations, and extensions of current theories. The book consists of eleven parts?each part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions.
Author | : Behrouz Farhang-Boroujeny |
Publisher | : John Wiley & Sons |
Total Pages | : 800 |
Release | : 2013-04-02 |
Genre | : Technology & Engineering |
ISBN | : 111859133X |
Download Adaptive Filters Book in PDF, ePub and Kindle
This second edition of Adaptive Filters: Theory and Applications has been updated throughout to reflect the latest developments in this field; notably an increased coverage given to the practical applications of the theory to illustrate the much broader range of adaptive filters applications developed in recent years. The book offers an easy to understand approach to the theory and application of adaptive filters by clearly illustrating how the theory explained in the early chapters of the book is modified for the various applications discussed in detail in later chapters. This integrated approach makes the book a valuable resource for graduate students; and the inclusion of more advanced applications including antenna arrays and wireless communications makes it a suitable technical reference for engineers, practitioners and researchers. Key features: • Offers a thorough treatment of the theory of adaptive signal processing; incorporating new material on transform domain, frequency domain, subband adaptive filters, acoustic echo cancellation and active noise control. • Provides an in-depth study of applications which now includes extensive coverage of OFDM, MIMO and smart antennas. • Contains exercises and computer simulation problems at the end of each chapter. • Includes a new companion website hosting MATLAB® simulation programs which complement the theoretical analyses, enabling the reader to gain an in-depth understanding of the behaviours and properties of the various adaptive algorithms.