利用概率数据关联算法和最近邻算法对目标进行跟踪

Independent Component Analysis for 2 media files, matlab code

说明：  在Matlab环境下显示运动图像，可直接进行视频文件的读取(in Matlab environment Moving Image shows, video files directly to the reader)

GMSK通信建模与仿真，simulink源文件，东华大学研究生通信建模与仿真课程设计代码(Modeling and simulation of GMSK communication simulink source file, donghua university graduate course design of the modeling and simulation of communication code)

对雾天图像利用小波变换分解，实现图像去雾增强，分解的层数越多，处理后的效果越明显。(On the fog image using wavelet transform decomposition, to achieve the image to fog enhancement, decomposition of the number of layers, the more obvious the effect of the treatment.)

说明：  在葡萄酒制造业中，对于葡萄酒的分类具有很大意义，因为这涉及到不同种类的葡萄酒的存放以及出售价格，采用神经网络做为分类器可以有效预测相关葡萄酒的种类，从UCI数据库中得到wine数据记录的是在意大利某一地区同一区域上三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本分别属于三个类别(类别标签已给)，每个样本含有13个特征分量(化学成分)，将这178个样本70%做为训练样本，另30%做为测试样本，用训练样本对神经网络分类器进行训练，用得到的模型对测试样本的进行分类标签预测。(In the wine manufacturing industry, classification of wine is of great significance, because it involves the storage and selling price of different kinds of wine. Using neural network as classifier can effectively predict the types of related wine. The wine data recorded from UCI database is the chemical composition of three different kinds of wine in the same region of Italy According to the analysis, 178 samples in the data belong to three categories (the category label has been given). Each sample contains 13 characteristic components (chemical components). 70% of the 178 samples are used as training samples, and 30% are used as test samples. The training samples are used to train the neural network classifier, and the model is used to predict the classification label of the test samples.)

应用背景用于信号分解 降噪对往复机械振动信号的瞬时非线性、非平稳特性，提出一种基于总体平均经验模式分解(Ensemble Empirical Mode Decomposition，EEMD)与过零率分析相结合的自适应降噪方法，并与能量矩，支持向量机(SupportV ector Machine，SVIvl)结合应用于故障诊断．利用EEMD对非平稳振动信号进行自适应的分解，有效抑制经典经验模式分解的可能出现的模式混叠现象，再以所得的各固有模式分量(Intrinsic Mode Function，IMF)的过零率作为噪声评判准则，重构过零率闻值范围内的非噪声分量以实现信号降噪。另外，计算非噪声分量的能量矩作为故障特征提输入二又树支持向量机实现的柴油机故障诊断验证了该方法有效性． 关键技术近来，一种新的信号分解算法——经验模式分解(Empirical Mode Decomposition，EMD)由Norden．E．Huang等人提 出，其被认为是非线性、非平稳数据处理方法的新进展。EMD的最大优点是其可以从数据中自适应的得到基函数，克服了小波变换中要选取合适的小波基的困难。根据信号时间尺度的不同，EMD将信号分解为一组固有模态函数(Intrinsie ModeFunction，IMF)，从瞬态尺度(高频模态)到粗糙尺度(低频横态)。本文根据白噪声在EMD下的分解特性|31，提出了一种基于EMD的自适应的去噪算法。通过与小波域阐值去噪相比较，仿真结果表明其有很好的去噪效果。

This is a simple function which caculates the spherical harmonic.The archive includes four M files ,and the file Comx_Sph.m is the main function.Given the degree l ,the index m and the variable x ,you can get the value of spherical harmonic.For more details ,you may read the programs.

A toolbox for performing image registrations on 4D RTOG files or any other volumetric image.

matlaba车牌定位程序，方便开发者对其学习应用(MATLABcarbandcode positoning)

利用matlab语言编写的标准正态分布，泊松分布，瑞利分布下的随机数的产生。(Use of matlab language standard normal distribution, Poisson distribution, Rayleigh distribution under the random number generation.)