User:Mnarefin/Books/Blind Source Separation 101

PCA, SVD, ICA

 * Blind signal separation
 * Principal component analysis
 * Orthogonal matrix
 * Correlation and dependence
 * Variance
 * Multivariate normal distribution
 * Covariance matrix
 * Singular value decomposition
 * Orthogonal basis
 * Moore–Penrose pseudoinverse
 * Unitary matrix
 * Independent component analysis
 * Gram–Schmidt process
 * Gradient descent
 * Conjugate gradient method
 * Iterative method
 * Stochastic gradient descent