Description: Independent component analysis (ICA) is a method for finding underlying factors or
components multivariate (multidimensional) statistical data. What distinguishes
ICA other methods is that it looks for components that are both statistically
independent, and nongaussian. Here we briefly introduce the basic concepts, applications,
and estimation principles of ICA.
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material of book\ICAcourse.pdf
................\ICA_Ch1.pdf
................\ICA_Ch10.pdf
................\ICA_Ch11.pdf
................\ICA_Ch12.pdf
................\ICA_Ch13.pdf
................\ICA_Ch14.pdf
................\ICA_Ch15.pdf
................\ICA_Ch16.pdf
................\ICA_Ch17.pdf
................\ICA_Ch18.pdf
................\ICA_Ch19.pdf
................\ICA_Ch2.pdf
................\ICA_Ch20.pdf
................\ICA_Ch21.pdf
................\ICA_Ch22.pdf
................\ICA_Ch3.pdf
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................\ICA_Ch5.pdf
................\ICA_Ch6.pdf
................\ICA_Ch7.pdf
................\ICA_Ch8.pdf
................\ICA_Ch9.pdf
................\solutions.pdf
material of book
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