PSO

popup program in matlab tamala

包含间隔偏最小二乘，组合偏最小二乘，和间隔主成分分析(Contains the interval partial least squares, combination of partial least squares, and spacing of principal component analysis)

good projet for bbeginners ey useful

特征矩阵的联合对角化法（JADE），独立分量分析（ICA）的一种方法，用matlab编写(Characteristic matrix of the joint diagonalization method (JADE), independent component analysis (ICA) is a means to prepare with matlab)

This is a case where a array is introduced

excel和matlab混和编程exlink实现回归与模拟,还有几个插值运算小程序(excel and Matlab programming exlink mixture to achieve reunification with the simulation, Operational several small interpolation procedures)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)

角点是图像的重要特征，一般指曲率大的边缘点，该代大戏是用MATLAB编写的角点检测算子。(corner image is an important characteristic of large curvature generally refers to the brink, The show is substituting prepared using MATLAB corner detection operator.)

K-means聚类算法，用于文件、数据的聚类分析(K-means clustering algorithm for document clustering analysis of the data)