书目名称 | Nonlinear Blind Source Separation and Blind Mixture Identification |
副标题 | Methods for Bilinear |
编辑 | Yannick Deville,Leonardo Tomazeli Duarte,Shahram H |
视频video | |
概述 | Presents advanced configurations of the blind source separation problem, involving bilinear, linear-quadratic and polynomial mixing models.Provides a detailed and coherent description of the methods r |
丛书名称 | SpringerBriefs in Electrical and Computer Engineering |
图书封面 |  |
描述 | This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communitie |
出版日期 | Book 2021 |
关键词 | Blind source separation; Blind mixture identification; Nonlinear mixture; Bilinear mixture; Linear-quadr |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-64977-7 |
isbn_softcover | 978-3-030-64976-0 |
isbn_ebook | 978-3-030-64977-7Series ISSN 2191-8112 Series E-ISSN 2191-8120 |
issn_series | 2191-8112 |
copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 |