L1 Norm Based Principal Component Analysis and Its Multiresolution Analysis

• Published in: 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) pp. 1 - 4
• Main Authors: Huang, Ziyin, Ling, Bingo Wing-Kuen
• Format: Conference Proceeding
• Language: English
• Published: IEEE 20.07.2020
• Subjects: genetic algorithm; L 1 norm based principal component analysis; Multiresolution analysis; total L 1 norm reconstruction error; unitary error

The L 1 norm based principal component analysis (PCA) is used for reducing the dimensions of the signals in many science and engineering disciplines recently. This is because the errors between the reconstructed vectors and the original training vectors are sparse. Different from the conventional L...