Skip to main content
  • Book
  • © 2014

Blind Source Separation

Advances in Theory, Algorithms and Applications

  • Covers the latest cutting edge topics on BSS and emphasis on the open problems
  • Present both theory and applications with examples
  • Offers unique in-depth analysis of BSS/ICA topics
  • Includes most advanced areas of BSS and the comprehensive description of the core principles of ICA/BSS
  • Includes supplementary material: sn.pub/extras

Part of the book series: Signals and Communication Technology (SCT)

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (20 chapters)

  1. Front Matter

    Pages i-ix
  2. Applications

    1. Front Matter

      Pages 289-289
    2. Statistical Analysis and Evaluation of Blind Speech Extraction Algorithms

      • Hiroshi Saruwatari, Ryoichi Miyazaki
      Pages 291-322
    3. On the Ideal Ratio Mask as the Goal of Computational Auditory Scene Analysis

      • Christopher Hummersone, Toby Stokes, Tim Brookes
      Pages 349-368
    4. Monaural Speech Enhancement Based on Multi-threshold Masking

      • Masoud Geravanchizadeh, Reza Ahmadnia
      Pages 369-393
    5. REPET for Background/Foreground Separation in Audio

      • Zafar Rafii, Antoine Liutkus, Bryan Pardo
      Pages 395-411
    6. Nonnegative Matrix Factorization Sparse Coding Strategy for Cochlear Implants

      • Hongmei Hu, Guoping Li, Mark E. Lutman, Stefan Bleeck
      Pages 413-434
    7. Exploratory Analysis of Brain with ICA

      • Rubén Martín-Clemente
      Pages 435-463
    8. Supervised Normalization of Large-Scale Omic Datasets Using Blind Source Separation

      • Andrew E. Teschendorff, Emilie Renard, Pierre A. Absil
      Pages 465-497

About this book

Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS.

Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.

Editors and Affiliations

  • University of Technology, Sydney, Sydney, Australia

    Ganesh R. Naik

  • University of Surrey, Guildford, United Kingdom

    Wenwu Wang

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access