ofdm_4

modular fuel cell model

用于文本语义分析的潜在语义分析算法LSA(Latent Semantic Analysis)，包含详细的函数说明，原理分析及数据。相比原来版本的LSA，增加了文件demo.m以增加可视化效果，更有利于读者使用。(-Semantic Analysis for Text of Latent Semantic Analysis Algorithm LSA (Latent Semantic Analysis), contains a detailed description, principles of function analysis and data. Run demo.m can see the visualization effect.)

MATLAB DEMO ENTITY ED EVENTS

解决布拉格光纤光栅波长解调问题的粒子群算法，matlab实现(Particle swarm algorithm to solve the problem of fiber Bragg grating wavelength demodulation, matlab achieve)

Em algo for GMM, data mining unsupervised learning

虹膜识别程序( iris recognition)

质子交换膜燃料电池模型，基于Matlab的燃料电池模型，适用于能源领域(The proton exchange membrane fuel cell model, Matlab-based fuel cell model, applicable in the field of energy)

用于计算互近似熵，互近似熵是两个信号之间不同步的量度。模糊熵与互信息(It is used to calculate the mutual approximate entropy, and the mutual approximate entropy is a measure of the non synchronization between the two signals)

本程序是以北京西洋参路口数据为例，采集一天24H数据，并对异常交通数据做识别、修复处理，用结合减法聚类和模糊聚类算法对路口数据实现自动划分(This procedure is based on data of Beijing Ginseng junctions, 24H data collection day, and do identify abnormal traffic data, repair treatment, with a combination of subtractive clustering and fuzzy clustering algorithm for automatic classification of data on the intersection)

基于matlab对语音信号进行频谱分析，加入高斯噪声，再使用FIR高通、巴特沃斯低通、FIR带通滤波器进行滤波处理(Spectral analysis of the speech signal, adding Gaussian noise, and then use high-pass, low pass, band pass filter for filtering)