| 书目名称 | Nonlinear Source Separation | | 编辑 | Luis B. Almeida | | 视频video | | | 丛书名称 | Synthesis Lectures on Signal Processing | | 图书封面 |  | | 描述 | The purpose of this lecture book is to present the state of the art in nonlinear blind source separation, in a form appropriate for students, researchers and developers. Source separation deals with the problem of recovering sources that are observed in a mixed condition. When we have little knowledge about the sources and about the mixture process, we speak of blind source separation. Linear blind source separation is a relatively well studied subject, however nonlinear blind source separation is still in a less advanced stage, but has seen several significant developments in the last few years.This publication reviews the main nonlinear separation methods, including the separation of post-nonlinear mixtures, and the MISEP, ensemble learning and kTDSEP methods for generic mixtures. These methods are studied with a significant depth. A historical overview is also presented, mentioning most of the relevant results, on nonlinear blind source separation, that have been presented over the years. | | 出版日期 | Book 2006 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-02526-6 | | isbn_softcover | 978-3-031-01398-0 | | isbn_ebook | 978-3-031-02526-6Series ISSN 1932-1236 Series E-ISSN 1932-1694 | | issn_series | 1932-1236 | | copyright | Springer Nature Switzerland AG 2006 |
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发表于 2025-3-21 16:37:31
