用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value

Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Pisarenko harmonic decompos

For feature reduction, feature fusion, correlation analysis, Pisarenko harmonic decomposition algorithm, Using matlab to calculate the Mahalanobis distance for the image.