| 書(shū)目名稱(chēng) | Latent Variable Analysis and Signal Separation |
| 副標(biāo)題 | 13th International C |
| 編輯 | Petr Tichavsky,Massoud Babaie-Zadeh,Nadège Thirion |
| 視頻video | http://file.papertrans.cn/582/581807/581807.mp4 |
| 概述 | Includes supplementary material: |
| 叢書(shū)名稱(chēng) | Lecture Notes in Computer Science |
| 圖書(shū)封面 |  |
| 描述 | This book constitutes the proceedings of the 13th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2017, held in Grenoble, France, in Feburary 2017. The 53 papers presented in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections named: tensor approaches; from source positions to room properties: learning methods for audio scene geometry estimation; tensors and audio; audio signal processing; theoretical developments; physics and bio signal processing; latent variable analysis in observation sciences; ICA theory and applications; and sparsity-aware signal processing.? |
| 出版日期 | Conference proceedings 2017 |
| 關(guān)鍵詞 | blind signal separation; dereverbation and denoising; independent component analysis; speech and audio |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-53547-0 |
| isbn_softcover | 978-3-319-53546-3 |
| isbn_ebook | 978-3-319-53547-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
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