By Xianchuan Yu
A systematic exploration of either vintage and modern algorithms in blind resource separation with useful case studies
The ebook offers an summary of Blind resource Separation, a comparatively new sign processing method. as a result multidisciplinary nature of the topic, the ebook has been written with a purpose to attract an viewers from very diversified backgrounds. easy mathematical abilities (e.g. on matrix algebra and foundations of likelihood idea) are crucial on the way to comprehend the algorithms, even if the ebook is written in an introductory, available style.
This e-book bargains a basic evaluation of the fundamentals of Blind resource Separation, vital ideas and algorithms, and in-depth insurance of purposes in snapshot function extraction, distant sensing photograph fusion, mixed-pixel decomposition of SAR pictures, picture item attractiveness fMRI clinical photo processing, geochemical and geophysical information mining, mineral assets prediction and geoanomalies info reputation. to begin with, the heritage and concept fundamentals of blind resource separation are brought, which gives the basis for the next paintings. Matrix operation, foundations of likelihood concept and knowledge conception fundamentals are integrated the following. There follows the elemental mathematical version and reasonably new yet particularly demonstrated blind resource separation algorithms, reminiscent of self reliant part research (ICA) and its more desirable algorithms (Fast ICA, greatest chance ICA, Overcomplete ICA, Kernel ICA, versatile ICA, Non-negative ICA, limited ICA, Optimised ICA). The final a part of the e-book considers the very contemporary algorithms in BSS e.g. Sparse part research (SCA) and Non-negative Matrix Factorization (NMF). in the meantime, in-depth circumstances are awarded for every set of rules for you to support the reader comprehend the set of rules and its software field.
- A systematic exploration of either vintage and modern algorithms in blind resource separation with useful case studies
- Presents new more desirable algorithms geared toward diversified purposes, equivalent to picture characteristic extraction, distant sensing snapshot fusion, mixed-pixel decomposition of SAR photographs, picture item reputation, and MRI clinical photograph processing
- With purposes in geochemical and geophysical info mining, mineral assets prediction and geoanomalies info recognition
- Written by means of a professional staff with approved techniques in blind resource separation and its functions in common science
- Accompanying web site contains a software program process supplying codes for many of the algorithms pointed out within the e-book, bettering the educational experience
Essential studying for postgraduate scholars and researchers engaged within the region of sign processing, info mining, photograph processing and popularity, details, geosciences, existence sciences.
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Additional resources for Blind Source Separation: Theory and Applications
If the statistical description is nonlinear and deviates from the Gaussian, we need to obtain the information from higher-order statistics. Higher-order statistics generally include higher-order moments, higher-order cumulants, and their spectra, namely, the higher-order moment spectrum, higher-order cumulant spectrum (also called the polyspectrum) and inverted higher-order cumulant spectrum (also called the inverted multi-spectrum). The third-order spectrum is called the bispectrum, which is the Fourier transform of the third-order cumulant sequence in a stationary random process.
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