Latent Variable Analysis and Signal Separation: 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings (Lecture Notes in Computer Science)
暫譯: 潛變量分析與信號分離:第十三屆國際會議 LVA/ICA 2017,法國格勒諾布爾,2017年2月21-23日,會議論文集(計算機科學講義)

  • 出版商: Springer
  • 出版日期: 2017-02-15
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 592
  • 裝訂: Paperback
  • ISBN: 3319535463
  • ISBN-13: 9783319535463
  • 相關分類: Computer-Science
  • 海外代購書籍(需單獨結帳)

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商品描述

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. 

商品描述(中文翻譯)

本書為第十三屆潛變量分析與信號分離國際會議(LVA/ICA 2017)的會議論文集,該會議於2017年2月在法國格勒諾布爾舉行。本卷中所呈現的53篇論文經過仔細審查和選擇,來自60篇投稿。這些論文被組織成以下主題部分:張量方法;從源位置到房間特性:音頻場景幾何估計的學習方法;張量與音頻;音頻信號處理;理論發展;物理與生物信號處理;觀察科學中的潛變量分析;獨立成分分析(ICA)理論與應用;以及考慮稀疏性的信號處理。