image_sobel

采用偏最小二乘法对啤酒样品进行数据分析。(Using partial least squares data analysis of beer samples.)

说明：  关于matlab和delphi的接口的描述文档，建议学习此混合编程的人看看。(On matlab and delphi interface description document, the proposed study were to see this mix of programming.)

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.)

这是一个的10Mb文件 这是演示版本的SIGTOOL软件包。 它没有完整的文件导入功能或速度的完整版本sigTOOL (this is a 10Mb file THIS IS A DEMO VERSION OF THE SIGTOOL SOFTWARE PACKAGE. It does not have the complete range of file import functions or speed of the full version of sigTOOL. )

此程序主要是检测黄色区域（用于人脸识别） 所用摄像头为USB320X240RGB的 原理： 先利用颜色找出符合条件的大面积黄 再利用模板闭运算补充连通与 再利用XY轴上连同域的寻找 标出人脸(The procedure is to detect the yellow area (for recognition) camera for USB320X240RGB used the principle: first, to identify qualified by the color yellow and then use a large area of the template to add connectivity and re-closing operation axis together with the domain using the search XY Face marked)

使用matlab编写的合成地震记录 里面注释很全的，看看吧，会有用的(synthetic seismogram matlab)

正交匹配追踪，信号压缩传感的实现，可近似完全重构(Orthogonal matching pursuit)

在毕设过程中，网上搜集来的基于matlab多点约束的波束形成算法，自己做了改进和注释(capon beamforming，multipoint restriction)

小波相干分析代码,图谱专用，用于做相干性图谱(Wavelet analysis)

装上之后就可以在线读取MIT的physiobank数据。 r = rdsamp( mitdb/100 , maxt , :10 )(The WFDB Toolbox for MATLAB)