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In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

基于近邻法的相关MATLAB实验方法，课件。，(Based on the MATLAB nearest-neighbor method clip algorithm experiment, the source code, and data analysis )

A fast customizable function for locating and measuring the peaks in noisy time-series signals.(A fast customizable function for locating and measuring the peaks in noisy time-series si gnals.)

基于混沌的语音加密 使用虫口函数生成密钥对语音进行加解密预算。(Voice encryption based on chaos)

calculate shortest distance between nodes in matlab

脑电想象运动的csp特征提取分类算法 matlab平台，通过投票可以直接扩展到多类(Imagine the movement csp EEG feature extraction classification algorithm matlab platform, through the vote can be directly extended to multiple classes)

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

MATLAB 对各种信道模式下不同调制模式的仿真实例仿真分析(MATLAB model of the various channels of different modulation simulation analysis of the simulation examples)

在进行交通流仿真时考虑两类车，不同的车长和不同的最大速度。(Consider when making traffic flow simulation two cars, a different car lengths and different maximum speeds.)

自己写的一个2DPCA的代码，可使用，可调节，有适当的地方可改动(2DPCA。。written by myself maybe useful for you,please to know it)