capacity

本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码，即压缩后的图像。 (This procedure using singular value decomposition of 3-channel color image compression decomposition, concrete steps are as follows: compression process: 1. Select the sub-image size K value, the image is decomposed into M × M sub-image, IMG (s), s = 1, 2, ..., M2, in which M = N/K, the original image IMG size N × N. 2. M2 calculate the average of sub-image average, for each sub-image minus the new images mean images. 3. Calculation of correlation matrix R, defined as its elements. 4. Calculation of the characteristics of R value and eigenvector calculated each sub-image with the largest eigenvector of the inner product, they will have to code, that is, the compressed images.)

LMS滤波LMS滤波LMS滤波LMS滤波LMS滤波(Filtering Filtering LMS LMS LMS LMS Filtering Filtering Filtering LMS)

说明：  灰色预测模型的matlab算法实现，可以进行较为长期的预测(use matlab to solve gm problem)

CLOUD COMPUTING PRESENTAION BY RAFAHA SAMIH

silp mode used in most examples ,according to the book writed by chen jinkun

This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB s BWDIST implementation of search on optimized kd-tree for many cases. It also uses cell-array representation for internal data, and thus is less demanding to physical memory.

This Matlab function implements the SIFT algorithm for pitch extraction function [p] = sift (x, samp_rate) where p is a vector which holds the pitch frequency values in Hz at every 10 msec.

永磁同步电机矢量控制的matlab仿真，测试波形完全正确(The permanent magnet synchronous motor vector control of matlab simulation, test waveforms completely correct)

Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio.

video scence recognition tool in matlab