Ewfa img

Purpose

Evolving window factor analysis for images.

Synopsis

eigs = ewfa_img(spec,window,nl,options)

Description

EWFA_IMG performs an SVD of the data in each window and then counts the number of singular values above the noise level (nl). Each element of the output (eigs) is the center of the window and contains the number of singular values above the noise level (nl).

INPUTS

• spec = MxNxP 3-way data matrix/image (spatial modes 1 and 2 MxN, and spectral mode is 3 w/ P channels).
• window = 2 element vector containing the window width in the x- and y-directions {each element should be > 1} (Note: if a scalar is input then the window in both directions is set to the scalar).
• nl = the approximate noise level in the data.

OUTPUTS

• eigs = number of eigenvalues > nl in each window.

Options

options is a structure is a structure array with the following fields:

• plots: [ 'none' | {'final'} ] governs level of plotting,

See Also

evolvfa, efa_demo, ewfa, pca, wtfa, wtfa_img