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A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can eciently compute principal components in high{ dimensional feature spaces, related to input space by some nonlinear map for instance the space of all possible d{pixel products in images. We give the derivation of the method and present experimental results on polynomial feature extraction for pattern recognition

使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多(Efficient K-Means using JIT (Matlab code) This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read. )

分水岭分割在matlab下实现，希望大家多提意见。(watershed segmentation in Matlab achieve, we hope to do so.)

The principle of space time block coding with 2 transmit antenna and one receive antenna is explained in the post on Alamouti STBC. With two receive antenna’s the system can be modeled as shown in the figure below

在数值分析中，拉格朗日插值是最简单的一种插值方法。本例就是一个简单的拉格朗日插值的matlab实现。(In the numerical analysis, the Lagrange interpolation is the simplest interpolation method. This example is a simple Lagrange interpolation matlab implementation.)

bpsk蒙特卡洛仿真，误码特性与信噪比曲线，几种实现的对比(bpsk Monte Carlo simulation, BER- SNR characteristic curve)

基于感兴趣区域图象处理的matlab程序,包括感兴趣区域的滤波，填充及选取(Matlab image processing program based on the region of interest, including the region of interest, filtering, fill and selection)

用MATLAB程序演示灰度调整，对比度增强，直方图均衡，局部平滑，中值滤波，频率域平滑与锐化，用MATLAB编写有关程序(failed to translate)

collection of Indonesian matter for high school

matlab语言的稀疏脉冲反褶积的m文件。(Matlab language sparse pulse deconvolution m files。 )