BLOCK-BASED PRINCIPAL COMPONENT ANALYSIS TRANSFORMATION METHOD AND DEVICE THEREOF

摘要

To provide a block-based principal component analysis transformation method capable of completely reconstructing an original signal with small data size, and a device thereof.SOLUTION: A principal component analysis transformation method includes: obtaining an input signal; dividing the input signal and obtaining a plurality of one-dimension vectors corresponding to the divided input signal, where the number of the plurality of one-dimension vectors is a division number; after arranging the plurality of one-dimension vectors to a two-dimension vector, subtracting an average value of the plurality of one-dimension vectors of the division number to obtain a zero-mean vector; calculating a covariance matrix of the zero-mean vector; calculating an eigenvector of the covariance matrix; multiplying the zero-mean vector by the eigenvector to obtain a projection coefficient.SELECTED DRAWING: Figure 2