conjgrad

Steven M. Kay统计信号处理基础一书的解答(The solution of Fundamentals_Of_Statistical_Signal_Processing)

brisk描述子,matlab语言，好懂易学(brisk descriptors, matlab language, easy to understand to learn)

Using a progressive intuitive/mathematical approach, this introduction to computer vision provides necessary theory and examples for practitioners who work in fields where significant information must be extracted automatically from images-- including those interested in multimedia, art and design, geographic information systems, and image databases, in addition to the traditional areas of automation, image science, medical imaging, remote sensing and computer cartography. The book provides a basic (Computer Vision- Linda Shapiro.pdf)

MATLAB做的不错的人脸识别的程序，希望大家能能受用，-color ，经测试可直接使用。 (Face recognition program MATLAB to do good, and I hope that we can be able to benefit from-color has been tested and can be used directly.)

模糊聚类分析的matlab程序，先将原矩阵标准化，再标定并生成模糊相似矩阵，最后生成动态分类图。(Matlab fuzzy clustering analysis program, the first of the original matrix standardized, re-calibration and generate fuzzy similarity matrix, and finally generate dynamic classification map.)

用于IIR信道的源代码，对初学者而言十分有用(the code for IIR channel，it is good for beginner)

1,、设置变量和参量： 　　X(n)为输入向量，或称为训练样本 　　W(n)为权值向量 　　e(n)为偏差 　　d(n)为期望输出 　　y(n)为实际输出 　　η为学习速率 　　n为迭代次数 　　2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 　　3、对于一组输入样本x(n)和对应的期望输出d，计算 　　e(n)=d(n)-X^T(n)W(n) 　　W(n+1)=W(n)+ηX(n)e(n) 　　4、判断是否满足条件，若满足算法结束，若否n增加1，转入第3步继续执行(, set the variables and parameters: X (n) is the input vector, otherwise known as the training sample W (n) for the weight vector e (n) for the deviation d (n) is the desired output y (n) is the actual output η is the learning rate n is the number of iterations)

差分脉冲编码调制（）的matlab模块仿真，实现抽样，量化，预测，编码并解码(DPCM)

标准粒子群算法PSO,MATLAB中实验,对学习粒子群算法很有帮助(Standard particle swarm optimization PSO, MATLAB in experiments on learning PSO helpful)

TLD跟踪算法源代码下载（纯C++版本），OpenTLD-master，某大牛重新编写的C++版本TLD跟踪算法，脱离MATLAB。(C++ impleletion of TLD)