{"product_id":"blind-source-separation-9781118679845","title":"Blind Source Separation","description":"\u003cp\u003e\u003cb\u003e\u003ci\u003eA systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA systematic exploration of both classic and contemporary algorithms in blind source separation with practical case studies\u003c\/li\u003e \u003cli\u003ePresents 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\u003c\/li\u003e \u003cli\u003eWith applications in geochemical and geophysical data mining, mineral resources prediction and geoanomalies information recognition\u003c\/li\u003e \u003cli\u003eWritten by an expert team with accredited innovations in blind source separation and its applications in natural science\u003c\/li\u003e \u003cli\u003eAccompanying website includes a software system providing codes for most of the algorithms mentioned in the book, enhancing the learning experience\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEssential reading for postgraduate students and researchers engaged in the area of signal processing, data mining, image processing and recognition, information, geosciences, life sciences.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Xianchuan Yu, Dan Hu, Jindong Xu\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 01\/28\/2014\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 416\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.70lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.60h x 6.50w x 1.00d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781118679845\u003cbr\u003e\u003cp\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eXianchuan Yu\u003c\/b\u003e, Beijing Normal University, P. R. China\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDan Hu\u003c\/b\u003e, Beijing Normal University, P. R. China\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJindong Xu\u003c\/b\u003e, Beijing Normal University, P. R. China\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Hardcover","offer_id":40679573028979,"sku":"9.78112E+12","price":290.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_33f42024-f0ea-4172-b4ff-8a3d7b17afe9.jpg?v=1674656945","url":"https:\/\/bookstorenmore.com\/en-de\/products\/blind-source-separation-9781118679845","provider":"Bookstore N More","version":"1.0","type":"link"}