Ming-Chun Wu

Sparse PCA via hard thresholding for blind source separation

Principal Component Analysis (PCA) is adopted in diverse areas including signal processing and machine leaning. However, the derived principal components, the linear combinations of the original variables, are hard to be interpreted in many applications especially the blind source separation. Theref…