This function makes an iteration of PCA-Gaussianization process
previous set of random variable
GPCA_iteration S3 object which contains the following objects:
x_prev Previous set of random variable,
x_prev input variable
x_gauss_prev Marginal Gaussianization of
x_prev obtained through
B_prev rotation matrix (i. e. eigenvector matrix of the covariance matrix of
x_next results obtained by multiplying
x_gauss_prev (see equation 1 of the reference)
This function is based on equation (1) of "PCA Gaussianization for One-Class Remote Sensing Image" by V. Laparra et al., www.uv.es/lapeva/papers/SPIE09_one_class.pdf and http://ieeexplore.ieee.org/document/5413808/
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