Open AccessBook
Adaptive Filters
TLDR
Adaptive Filters offers a fresh, focused look at the subject in a manner that will entice students, challenge experts, and appeal to practitioners and instructors.Abstract:
Adaptive Filters Adaptive filtering is a topic of immense practical and theoretical value, having applications in areas ranging from digital and wireless communications to biomedical systems. Now, preserving the style and main features of the earlier award-winning publication, Fundamentals of Adaptive Filtering (2005 Terman Award), the author offers readers and instructors a concentrated, systematic, and up-to-date treatment of the subject in this valuable new book. Adaptive Filters allows 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 partseach part containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions available to all readers. Additional features include: Numerous tables, figures, and projects Special focus on geometric constructions, physical intuition, linear-algebraic concepts, and vector notation Background material on random variables, linear algebra, and complex gradients collected in three introductory chapters Complete solutions manual available for instructors MATLAB solutions available for all computer projects Adaptive Filters offers a fresh, focused look at the subject in a manner that will entice students, challenge experts, and appeal to practitioners and instructors.read more
Citations
More filters
Journal ArticleDOI
Diffusion LMS Strategies for Distributed Estimation
TL;DR: This work motivates and proposes new versions of the diffusion LMS algorithm that outperform previous solutions, and provides performance and convergence analysis of the proposed algorithms, together with simulation results comparing with existing techniques.
Journal ArticleDOI
Diffusion Strategies for Distributed Kalman Filtering and Smoothing
TL;DR: This work studies the problem of distributed Kalman filtering and smoothing, and proposes diffusion algorithms to solve each one of these problems, and compares the simulation results with the theoretical expressions, and notes that the proposed approach outperforms existing techniques.
Journal ArticleDOI
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
Jianshu Chen,Ali H. Sayed +1 more
TL;DR: An adaptive diffusion mechanism to optimize global cost functions in a distributed manner over a network of nodes, which endow networks with adaptation abilities that enable the individual nodes to continue learning even when the cost function changes with time.
Book
Adaptation, Learning, and Optimization Over Networks
TL;DR: The limits of performance of distributed solutions are examined and procedures that help bring forth their potential more fully are discussed and a useful statistical framework is adopted and performance results that elucidate the mean-square stability, convergence, and steady-state behavior of the learning networks are derived.
Journal ArticleDOI
EEG artifact removal?state-of-the-art and guidelines
TL;DR: This paper presents an extensive review on the artifact removal algorithms used to remove the main sources of interference encountered in the electroencephalogram (EEG), specifically ocular, muscular and cardiac artifacts, and concludes that the safest approach is to correct the measured EEG using independent component analysis-to be precise, an algorithm based on second-order statistics such as second- order blind identification (SOBI).
References
More filters
Journal ArticleDOI
The design and use of steerable filters
TL;DR: The authors present an efficient architecture to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively steer a filter to any orientation, and to determine analytically the filter output as a function of orientation.
Book
Applications of Discrete and Continuous Fourier Analysis
TL;DR: In this paper, an introductory text covering the concepts and properties of Fourier analysis is presented, focusing on applications to real scientific and engineering problems, including the Fourier series, Fourier transform, and discrete Fourier transformation.
Proceedings ArticleDOI
Stable estimation of image orientation
L. Haglund,David J. Fleet +1 more
TL;DR: This work examines the performance of phase-based and energy-based techniques for estimating image orientation, emphasizing measurement stability under deformations that commonly occur in natural images.