Principles Of Adaptive Filters And Self Learning Systems
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Author |
: Anthony Zaknich |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 412 |
Release |
: 2005-04-25 |
ISBN-10 |
: 1852339845 |
ISBN-13 |
: 9781852339845 |
Rating |
: 4/5 (45 Downloads) |
Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich
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 |
ISBN-10 |
: 9781846281211 |
ISBN-13 |
: 1846281210 |
Rating |
: 4/5 (11 Downloads) |
Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich
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 |
: Ajith Abraham |
Publisher |
: Springer |
Total Pages |
: 1076 |
Release |
: 2018-03-21 |
ISBN-10 |
: 9783319763484 |
ISBN-13 |
: 3319763482 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Intelligent Systems Design and Applications by : Ajith Abraham
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 |
: Xiao-Zhi Gao |
Publisher |
: Springer Nature |
Total Pages |
: 558 |
Release |
: 2020-06-18 |
ISBN-10 |
: 9789811512759 |
ISBN-13 |
: 9811512752 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Advances in Computational Intelligence and Communication Technology by : Xiao-Zhi Gao
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 |
: Anthony Zaknich |
Publisher |
: Springer |
Total Pages |
: 386 |
Release |
: 2009-10-12 |
ISBN-10 |
: 184800883X |
ISBN-13 |
: 9781848008830 |
Rating |
: 4/5 (3X Downloads) |
Synopsis Principles of Adaptive Filters and Self-learning Systems by : Anthony Zaknich
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 |
: John R. Treichler |
Publisher |
: Pearson Education |
Total Pages |
: 376 |
Release |
: 2001 |
ISBN-10 |
: UCSD:31822029824786 |
ISBN-13 |
: |
Rating |
: 4/5 (86 Downloads) |
Synopsis Theory and Design of Adaptive Filters by : John R. Treichler
Rather than superficially examining an extensive list of possible applications benefiting from adaptive filter use, the authors examine four such problems in detail and review the common attributes that are shared with many other applications of adaptive filtering.The authors develop the basic rules and algorithms for filter performance and provide tools for design, along with an appreciation of the complexity of behavioral analysis. Derivations and convergence discussions are kept to a basic level. The presentation focuses on a few principles and applies them to a series of motivating examples, that include in-depth discussion of implementation aspects for filter design not found in other books.Serves as a valuable reference for practicing engineers.
Author |
: Behrouz Farhang-Boroujeny |
Publisher |
: John Wiley & Sons |
Total Pages |
: 800 |
Release |
: 2013-04-02 |
ISBN-10 |
: 9781118591338 |
ISBN-13 |
: 111859133X |
Rating |
: 4/5 (38 Downloads) |
Synopsis Adaptive Filters by : Behrouz Farhang-Boroujeny
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.
Author |
: Ali H. Sayed |
Publisher |
: John Wiley & Sons |
Total Pages |
: 1178 |
Release |
: 2003-06-13 |
ISBN-10 |
: 0471461261 |
ISBN-13 |
: 9780471461265 |
Rating |
: 4/5 (61 Downloads) |
Synopsis Fundamentals of Adaptive Filtering by : Ali H. Sayed
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 |
: Alexander D. Poularikas |
Publisher |
: CRC Press |
Total Pages |
: 363 |
Release |
: 2017-12-19 |
ISBN-10 |
: 9781482253368 |
ISBN-13 |
: 1482253364 |
Rating |
: 4/5 (68 Downloads) |
Synopsis Adaptive Filtering by : Alexander D. Poularikas
Adaptive filters are used in many diverse applications, appearing in everything from military instruments to cellphones and home appliances. Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® covers the core concepts of this important field, focusing on a vital part of the statistical signal processing area—the least mean square (LMS) adaptive filter. This largely self-contained text: Discusses random variables, stochastic processes, vectors, matrices, determinants, discrete random signals, and probability distributions Explains how to find the eigenvalues and eigenvectors of a matrix and the properties of the error surfaces Explores the Wiener filter and its practical uses, details the steepest descent method, and develops the Newton’s algorithm Addresses the basics of the LMS adaptive filter algorithm, considers LMS adaptive filter variants, and provides numerous examples Delivers a concise introduction to MATLAB®, supplying problems, computer experiments, and more than 110 functions and script files Featuring robust appendices complete with mathematical tables and formulas, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB® clearly describes the key principles of adaptive filtering and effectively demonstrates how to apply them to solve real-world problems.
Author |
: Tülay Adali |
Publisher |
: John Wiley & Sons |
Total Pages |
: 428 |
Release |
: 2010-06-25 |
ISBN-10 |
: 9780470575741 |
ISBN-13 |
: 0470575743 |
Rating |
: 4/5 (41 Downloads) |
Synopsis Adaptive Signal Processing by : Tülay Adali
Leading experts present the latest research results in adaptive signal processing Recent developments in signal processing have made it clear that significant performance gains can be achieved beyond those achievable using standard adaptive filtering approaches. Adaptive Signal Processing presents the next generation of algorithms that will produce these desired results, with an emphasis on important applications and theoretical advancements. This highly unique resource brings together leading authorities in the field writing on the key topics of significance, each at the cutting edge of its own area of specialty. It begins by addressing the problem of optimization in the complex domain, fully developing a framework that enables taking full advantage of the power of complex-valued processing. Then, the challenges of multichannel processing of complex-valued signals are explored. This comprehensive volume goes on to cover Turbo processing, tracking in the subspace domain, nonlinear sequential state estimation, and speech-bandwidth extension. Examines the seven most important topics in adaptive filtering that will define the next-generation adaptive filtering solutions Introduces the powerful adaptive signal processing methods developed within the last ten years to account for the characteristics of real-life data: non-Gaussianity, non-circularity, non-stationarity, and non-linearity Features self-contained chapters, numerous examples to clarify concepts, and end-of-chapter problems to reinforce understanding of the material Contains contributions from acknowledged leaders in the field Adaptive Signal Processing is an invaluable tool for graduate students, researchers, and practitioners working in the areas of signal processing, communications, controls, radar, sonar, and biomedical engineering.