Skip to content
Register Sign in Wishlist
Independent Component Analysis

Independent Component Analysis
Principles and Practice

$185.00 (P)

Stephen Roberts, Richard Everson, Aapo Hyvärinen, Hagai Attias, Juha Karhunen, Lucas Parra, Clay Spence, Jean-François Cardoso, Dinh-Tuan Pham, Michael Zibulevsky, Barak Pearlmutter, Pau Bofill, Pavel Kisilev, James Miskin, David MacKay, Te-Won Lee, Michael S. Lewicki, Mark Girolami, William Penny
View all contributors
  • Date Published: March 2001
  • availability: Available
  • format: Hardback
  • isbn: 9780521792981

$ 185.00 (P)
Hardback

Add to cart Add to wishlist

Looking for an examination copy?

This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact collegesales@cambridge.org providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Independent Components Analysis (ICA) is an important tool for modeling and understanding empirical data sets. Belonging to the class of general linear models, it is a method of separating out independent sources from linearly mixed data. ICA provides a better decomposition than other well-known models such as principal component analysis. This self-contained book contains a structured series of edited papers by leading researchers in the field and includes an extensive introduction to ICA. It reviews the major theoretical bases from a modern perspective, surveys current developments, and describes many case studies of applications in detail. Applications include biomedical examples, signal and image denoising, and mobile communications. The book discusses ICA within the framework of general linear models, but it also compares it to other paradigms such as neural network and graphical modeling methods.

    • Self-contained introduction to independent component analysis (ICA)
    • Many applications treated by leading experts
    • Overview of future directions
    Read more

    Reviews & endorsements

    "...a highly technical book that is fascinating...There are a lot of deep ideas in this book and, as such, experts in ICA will want to have it at their disposal. No doubt this book would be a wonderful resource for a graduate student about to embark on the long pursuit of a thesis in the field." Technometrics

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: March 2001
    • format: Hardback
    • isbn: 9780521792981
    • length: 352 pages
    • dimensions: 229 x 152 x 24 mm
    • weight: 0.69kg
    • availability: Available
  • Table of Contents

    1. Introduction Stephen Roberts and Richard Everson
    2. Fast ICA by a fixed-point algorithm that maximizes non-Gaussianity Aapo Hyvärinen
    3. ICA, graphical models and variational methods Hagai Attias
    4. Nonlinear independent component analysis Juha Karhunen
    5. Separation of non-stationary natural signals Lucas Parra and Clay Spence
    6. Separation of non-stationary sources: algorithms and performance Jean-François Cardoso and Dinh-Tuan Pham
    7. Blind source separation by sparse decomposition in a signal dictionary Michael Zibulevsky, Barak Pearlmutter, Pau Bofill and Pavel Kisilev
    8. Ensemble learning for blind source separation James Miskin and David MacKay
    9. Image processing methods using ICA mixture models Te-Won Lee and Michael S. Lewicki
    10. Latent class and trait models for data classification and visualisation Mark Girolami
    11. Particle filters for non-stationary ICA Richard Everson and Stephen Roberts
    12. ICA: model order selection and dynamic source models William Penny, Stephen Roberts and Richard Everson.

  • Editors

    Stephen Roberts, University of Oxford

    Richard Everson, University of Exeter

    Contributors

    Stephen Roberts, Richard Everson, Aapo Hyvärinen, Hagai Attias, Juha Karhunen, Lucas Parra, Clay Spence, Jean-François Cardoso, Dinh-Tuan Pham, Michael Zibulevsky, Barak Pearlmutter, Pau Bofill, Pavel Kisilev, James Miskin, David MacKay, Te-Won Lee, Michael S. Lewicki, Mark Girolami, William Penny

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×