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对CT2数据业务中采用的RS编码进行仿真，信道选取BSC，用SIMULINK进行仿真，得到误码率曲线(CT2 data services on the RS codes used in the simulation, channel select the BSC, using SIMULINK simulation obtained BER curves)

BPSK调制解调加上LDPC信道编码解码。画出误码率曲线(BPSK modulation and demodulation and LDPC channel coding and decoding. Draw the curve of error rate)

一个关于天线的程序 运用FDTD算法实现天线的仿真 很好的 欢迎大家下载(Procedures on the use of an antenna of the antenna FDTD algorithm welcome to download a good simulation)

计算矩阵序列的低秩近似，来至于论文一般的矩阵序列低秩近似。用matlab实现，能够有非常高的压缩率，而且能够重建原图像(We consider the problem of computing low rank approximations of matrices.)

this is a real time tracking based on voila-jonse method. there is a text file as read me , so read it, you will find your way

说明：  Matlab在图像处理与目标识别方面的应用实例(Matlab image processing and target recognition in the application examples)

这是关于fastkica的源程序，拥有比pca更好的功能，更快的提取独立主元，进行分析。(This is the source on fastkica has the better features than the pca faster extraction of independent analyzed.)

采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。(Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to train BP network so that it can fit a sine additional white noise sample data.)

说明：  Stanford 大学的深度学习源代码，可用于模式识别和预测，比较稳定。(Stanford University's deep learning source code can be used for pattern recognition and prediction, and is relatively stable.)

展示David G. Lowe的SIFT算法。有很多解释说明。通俗易懂，适合初学者。(David G. Lowe displayed the SIFT algorithm. There are many explanations. User-friendly, suitable for beginners.)