parameter

LMS的一个好算法，你可以自己动手。仿真通信系统，让你收益。好东西大家一起分享(LMS is a good algorithm, you can do-it-yourself. Simulation of communication systems, allows you the proceeds. Good things share with everyone)

说明：  A simple analytical model that predicts DSM spurious tones with arbitrary stimulus

给定极化状态的相位描述子和幅度描述子，绘制该极化状态的poincare功率球。源代码是matlab子函数，输入参数两个：极化状态的幅度描述子和相位描述子。还有一张示例图(Given the polarization state of the phase and amplitude descriptors descriptors, to draw the polarization state poincare power ball. Functions matlab source code, two input parameters: the polarization state and phase amplitude descriptor descriptor.)

这是一份在matlab中生成可执行文件的方法总集，内容详细。(This is an executable file in matlab to generate the total set of methods, detailed.)

用分布傅立叶算法解二维薛定谔方程 很值得参考(Using the Fourier algorithm for solving two-dimensional distribution of the Schrodinger equation is worth considering)

CGA - Canonical Genetic Algorithm with matlab

This document describe matlab computing environment: Engineering, Technical Computing,Files and File Management,Mathematical Functions and Applications,DataAnalysis and other.

Simulation based on age verification

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

经典Dijkstra算法的matlab实现(Dijkstra algorithm based in matlab)