互信息

实现SVM数据挖掘分类模型，主要构造了SVM分类器。(Data mining to achieve SVM classification model, the main structure of the SVM classifier.)

广义预测控制的matlab源程序，可以很容易的修改成自己的应用(Generalized Predictive Control matlab source, can be easily modified into their own applications)

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仿射投影算法，也就是APA算法的程序，可以通过简单修改变成NLMS算法！(Affine projection algorithm, namely APA algorithm procedures, through simple changes can be turned into NLMS algorithm!)

Chicken Swarm Optimization（CSO）鸡群优化算法，2014年提出的群智能优化算法。 Bird Swarm Algorithm（BSA）鸟群算法，2015年最新的群智能优化算法。 作为两种全新的群智能优化算法，CSO和BSA都具有简单，良好扩展性的特点，是天然的多种群算法！ http://cn.mathworks.com/matlabcentral/profile/authors/3317597-xian-bing-meng 有关算法信息，可在上述网站查询。 希望对大家有用！ (Attachment is a file containing two demos for the nature-inspired algorithms, Chicken Swarm Optimization (CSO) and Bird Swarm Algorithm (BSA), which are proposed in 2014 and 2015, respectively. With the merits of innate multi-swarm and self-adaptive algorithms, the two new metaheuristic algorithms may show their superiorities over some other metaheuristic algorithms.)

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很好的卡尔曼滤波器，应实现过了，程序中有解释说明部分，只须修改参数即可(Good Kalman filter should be realized, the program has some explanation, you can only modify the parameters)

用Mie理论计算双层粒子的散射角——散射光强曲线 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算包覆粒子米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画包覆粒子散射角-光强图 (Mie theory calculations using double-particle scattering angle- scattering intensity curve 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m coated particles Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m painting coated particle scattering angle- light intensity diagram)

qpsk调制程序，通过仿真，用matlab编写的(qpsk modulation process, through simulation, written with matlab)

对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。 (On the circuit board image segmentation, to extract the target board to the circuit board for testing. Article using the K means clustering algorithm to complete the circuit board image segmentation, the traditional K-means clustering algorithm, the paper proposes the effective use of histogram peak wave number of K values to determine the size, and by using a ratio of absolute error of the traditional expression that is more concise, to the fast segmentation. For some circuit board image segmentation results show that the method can be according to the article the number of valid target value to determine the size K, and K-means algorithm than the traditional reduced computation and computing time.)