Blind Source Separation

Theory and Applications

Nonfiction, Science & Nature, Technology, Engineering
Cover of the book Blind Source Separation by Xianchuan Yu, Dan Hu, Jindong Xu, Wiley
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Xianchuan Yu, Dan Hu, Jindong Xu ISBN: 9781118679876
Publisher: Wiley Publication: December 13, 2013
Imprint: Wiley Language: English
Author: Xianchuan Yu, Dan Hu, Jindong Xu
ISBN: 9781118679876
Publisher: Wiley
Publication: December 13, 2013
Imprint: Wiley
Language: English

A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies

The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style.

This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field.

  • A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies
  • Presents new improved algorithms aimed at different applications, such as image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition, and MRI medical image processing
  • With applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition
  • Written by an expert team with accredited innovations in blind source separation and its applications in natural science
  • Accompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience

Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies

The book presents an overview of Blind Source Separation, a relatively new signal processing method. Due to the multidisciplinary nature of the subject, the book has been written so as to appeal to an audience from very different backgrounds. Basic mathematical skills (e.g. on matrix algebra and foundations of probability theory) are essential in order to understand the algorithms, although the book is written in an introductory, accessible style.

This book offers a general overview of the basics of Blind Source Separation, important solutions and algorithms, and in-depth coverage of applications in image feature extraction, remote sensing image fusion, mixed-pixel decomposition of SAR images, image object recognition fMRI medical image processing, geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition. Firstly, the background and theory basics of blind source separation are introduced, which provides the foundation for the following work. Matrix operation, foundations of probability theory and information theory basics are included here. There follows the fundamental mathematical model and fairly new but relatively established blind source separation algorithms, such as Independent Component Analysis (ICA) and its improved algorithms (Fast ICA, Maximum Likelihood ICA, Overcomplete ICA, Kernel ICA, Flexible ICA, Non-negative ICA, Constrained ICA, Optimised ICA). The last part of the book considers the very recent algorithms in BSS e.g. Sparse Component Analysis (SCA) and Non-negative Matrix Factorization (NMF). Meanwhile, in-depth cases are presented for each algorithm in order to help the reader understand the algorithm and its application field.

Essential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.

More books from Wiley

Cover of the book Office 2016 at Work For Dummies by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Breeding for Fruit Quality by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book The Buckets of Money Retirement Solution by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Europe Entrapped by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Fundamentals of Finite Element Analysis by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Cytopathology of the Head and Neck by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book The Classroom Teacher's Survival Guide by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Introduction to Industrial Polyethylene by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Fitness Walking For Dummies by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book The Religion Toolkit by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Introduction to Probability and Statistics for Ecosystem Managers by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book X-ray Absorption Spectroscopy for the Chemical and Materials Sciences by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Kripke by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Allgemeine Botanik für Dummies by Xianchuan Yu, Dan Hu, Jindong Xu
Cover of the book Isotope Geochemistry by Xianchuan Yu, Dan Hu, Jindong Xu
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy