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基于16QAM的OFDM 实现,可以得出波形(designed for 16QAM)

元胞自动机 微观交通流仿真 N-S模型 交通行为的仿真(Cellular automata microscopic traffic flow simulation the NS model traffic behavior simulation)

Program for image in Matlab.

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)

说明：  使用滑模方法，进行无人机姿态控制律设计，并在MATLAB环境下进行仿真验证(Using the sliding mode method, the attitude control law of UAV is designed and simulated in MATLAB)

这是一个用K-L变换实现的人脸识别代码(matlab),挺不错的.(err)

TV-based image restoration and Chan-Vese segmentation. Usable MATLAB or C/C++

基于特征评估及约简的邻居粗糙集方法，可以用于粗糙集属性约简(Feature-based assessment and neighbors rough set reduction methods )

基于四阶累积量的联合对角化，其中给出两种四阶累积量计算方法，方便理解。这个算法还是比较难的，可以参看下独立分量分析中的jade算法(Fourth-order cumulant-based joint diagonalization, which gives two fourth-order cumulant method, easy to understand. This algorithm is quite difficult, you can see under the jade independent component analysis algorithm)

利用matlab读取libsvm的工具包，实现数据的自动分类。压缩包里有训练文件及测试文件。(Read libsvm using matlab toolkit, automatic classification of data. Compression bag has training documents and test files.)