MSChart

说明：  提取图像的颜色特征，首先将图像颜色映射到指定的8个颜色，然后利用自相关和互相关计算得到图像的特征向量，并从原数据库中算出利用此方法检索图像的正确率，并将检索结果好的图像显示到指定文件夹中。(Extract image s color characteristics.First, the image color map to the specified eight colors, then use the auto-correlation and cross-correlation calculation of image feature vectors.and Calculated from the original database, retrieve the images using this method, the correct rate, and a good image display search results to a specified folder.)

混沌时间序列预测(chaotic time series prediction)中的Volterra级数一步预测 、Volterra级数多步预测方法(Prediction of chaotic time series (chaotic time series prediction) in the prediction step Volterra series, Volterra series multi-step prediction method)

雷达仿真工具，MAHAFZA书中程序,包括杂波仿真，脉压仿真等等(Radar simulation with matlab，including LFM pulse compression, clutter analysis, etc)

probability based programs

knn—k近邻准则matlab实现，适合初学者(knn-k neighbors to achieve the criteria matlab)

高斯脉冲及高斯一阶导、高斯二阶导产生时域图(Gaussian pulse and a Gaussian derivative, Gaussian, when the second derivative domain plan)

用matlab实现fec中丢失率和误码率(Using matlab to achieve fec loss rate and bit error rate in)

通过matlab代码，PLS部分最小二乘工具箱,可以广泛的应用于数据预测及数据分析。( By matlab code, PLS PLS toolbox, Can be widely used in data analysis and forecast data.)

解码器，利用差错控制算法解汉明码，BCH码等多种码字(Decoder, error control algorithm using Hamming Code, BCH Code and other code words)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)