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An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation
slow feature analysis nonlinear blind source separation independent component analysis
2015/7/15
We present and test an extension of slow feature analysis as a novel approach to nonlinear blind source separation. The algorithm relies on temporal correlations and iteratively reconstructs a set of ...
Adaptive Parallel Computation for Blind Source Separation with Systolic Architecture
BSS convolutive mixtures VLSI field programmable gate array (FPGA)
2013/1/28
The purpose of Blind Source Separation (BSS) is to obtain separated sources from convolutive mixture inputs. Among the various available BSS methods, Independent Component Analysis (ICA) is one of the...
ADIS——A robust pursuit algorithm for probabilistic，constrained and non-square blind source separation with application to fMRI
ADIS robust pursuit algorithm blind source separation fMRI
2010/3/18
In this article, we develop an algorithm for probabilistic and constrained projection pursuit.
Our algorithm called ADIS (automated decomposition into sources) accepts arbitrary non-linear
contrast ...