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Titlebook: A Rapid Introduction to Adaptive Filtering; Leonardo Rey Vega,Hernan Rey Book 2013 The Author(s) 2013 APA Affine Projection Algorithms.Com

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發(fā)表于 2025-3-21 16:27:49 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱A Rapid Introduction to Adaptive Filtering
影響因子2023Leonardo Rey Vega,Hernan Rey
視頻videohttp://file.papertrans.cn/142/141997/141997.mp4
發(fā)行地址Presents a rapid introduction to the fundamentals on adaptive filtering.Discusses several modern topics in the adaptive filtering field.Includes supplementary material:
學(xué)科分類SpringerBriefs in Electrical and Computer Engineering
圖書封面Titlebook: A Rapid Introduction to Adaptive Filtering;  Leonardo Rey Vega,Hernan Rey Book 2013 The Author(s) 2013 APA Affine Projection Algorithms.Com
影響因子In this book, the authors provide insights into the basics of adaptive filtering, which are particularly useful for students taking their first steps into this field. They start by studying the problem of minimum mean-square-error filtering, i.e., Wiener filtering. Then, they analyze iterative methods for solving the optimization problem, e.g., the Method of Steepest Descent. By proposing stochastic approximations, several basic adaptive algorithms are derived, including Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS) and Sign-error algorithms. The authors provide a general framework to study the stability and steady-state performance of these algorithms. The affine Projection Algorithm (APA) which provides faster convergence at the expense of computational complexity (although fast implementations can be used) is also presented. In addition, the Least Squares (LS) method and its recursive version (RLS), including fast implementations are discussed. The book closes withthe discussion of several topics of interest in the adaptive filtering field.
Pindex Book 2013
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Introduction,g. Additional chapters cover analysis of heavy metals, alcohol testing, and issues of drugs of abuse testing. These chapters are written by experts in their relative sub-specialties and also by the editor. Comprehensive and timely, Handbook of Drug Monitoring Methods: Therapeutics and Drug Abuse is
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Iterative Optimization,ian framework for calibration, validation, and model selection against a set of observational data while assessing the inherent uncertainties in the data, the model, and the numerical solution. A stochastic DDDAS computational infrastructure is implemented, based on a Bayesian filtering algorithm, w
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Stochastic Gradient Adaptive Algorithms,e the belief on the trajectory of the target, and the searcher actively steers the measurement process to improve its knowledge about the location of the target. In particular, we make two main contributions. The first regards the target trajectory estimation. We show how to perform optimal Bayesian
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Least Squares,yet a third characterization is in terms of the so-called master equation. The article first describes problem areas which motivate the development of MFG theory and then presents the theory’s basic mathematical formalization. The main results of MFG theory are then presented, namely the existence a
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Advanced Topics and New Directions,yet a third characterization is in terms of the so-called master equation. The chapter first describes problem areas which motivate the development of MFG theory and then presents the theory’s basic mathematical formalization. The main results of MFG theory are then presented, namely the existence a
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Back Matternings of the models that they use. Despite the peculiarities of any applied science, dynamics and probability are the common and indispensable tools in any modeling effort. The book is self-contained, with many978-3-030-88488-8978-3-030-88486-4
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Front Matterhe 2-mg-containing formulation of nicotine gum was first marketed in the United States in 1984 as a prescription medication. The 4-mg form was marketed in 1992 to enable heavier-smoking patients the replacement levels that they required for successful smoking cessation. In 1996, both the 2- and 4-mg
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