| 期刊全称 | A Rapid Introduction to Adaptive Filtering | | 影响因子2023 | Leonardo Rey Vega,Hernan Rey | | 视频video | | | 发行地址 | Presents a rapid introduction to the fundamentals on adaptive filtering.Discusses several modern topics in the adaptive filtering field.Includes supplementary material: | | 学科分类 | SpringerBriefs in Electrical and Computer Engineering | | 图书封面 |  | | 影响因子 | 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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发表于 2025-3-21 16:27:49
