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Mahafza B.R, Elsherbeni A.Z. - MATLAB Simulations for Radar Systems Design - 2004 对于雷达系统设计师来说这是一本难得的宝典(Mahafza BR, Elsherbeni AZ- MATLAB Simulations for Radar Systems Design- 2004 for the radar system designer, this is a rare book)

说明：  基本遗传算法maltab源程序， 比较实用(Maltab basic genetic algorithm source code, more practical)

该文档详细描述了FFT的物理意义，并附有一个正弦波叠加的例子和相关Matlab程序.(The document describes the physical meaning of FFT in details,with a superimposed sine wave and related Matlab examples )

We consider a complex-valued wavefield reconstruction in an object plane from data in a sensor plane. A digital modeling for the forward propagation is presented in the algebraic matrix form M-DDT. The inverse propagation is formalized as an inverse problem. The main algorithm of the complex-valued wavefield reconstruction with the proposed Matrix Discrete Diffraction Transform (M-DDT) is prepared as a Matlab demo.

说明：  进行带钢厚度预测，通过提取带钢厚度的特征，输入svr进行预测。(Prediction of strip thickness)

Kmedoid 是类似于Kmean的Clustering method。(Kmedoid is similar to Kmean the Clustering method.)

第05讲 MATLAB语言应用-数字图像处理课件-matlab语言基础，很适合做图像如理入门使用系列(Digital image processing based on matlab language courseware), very suitable for image such as introduction to use series)

robotearth本体定义文件，定义了类别概念和关系等(The OWL ontologies used in the KnowRob system, about robot concept and class.)

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.)

A matlab implementation of the KNN classifier. It is tested and working well.