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The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background. Example: To create the fig 3,4 and 5 of the paper, call the routine: Blind_recognition_STBC2_simulation_results(512,4, PSK ,4) Reference: [1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.

hht希尔伯特黄变化的matlab实现不错试过了(hht Hilbert Huang changing tried matlab realize good)

基于数字图像跟matlab对车辆空位统计系统的实现，实现灰度图像的二值化，边缘检测等(Based on digital image with matlab of vehicle space statistical system, realize the gray image binarization, edge detection and so on)

介绍了随机信号处理，并重点阐述了卡尔曼滤波在随机信号处理中的应用，并有matlab仿真的实例。(Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercise)

Iterative learning neural network control for nonlinear system trajectory tracking

digital signal processing labs

Optical Character Recognition for the first algorithm to process it in NN area

pwm整流器仿真模型，可控整流，自搭，好用(pwm rectifier simulation model, controllable rectifier, self-ride, easy to use)

利用 matlab的GUI 环境编写 多项式曲线拟合程序，及其界面，由于参数的输入是实时的、拟合过程可以实时显示，因而使用非常方便。(Using matlab GUI to prepare the environment polynomial curve fitting procedures, and its interface, as input parameters in real time, the fitting process can be real-time display, which is very convenient to use.)

各种方法的去噪程序 den1.m 使用半软阈值方法对图像进行去噪 den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波 den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的 den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪 den2.m 用软硬阈值函数的改进方法进行去噪 den3.m 用广义阈值函数进行去噪 den4.m 用自适应特征阈值函数进行去噪 wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪 meanfilter.m 均值滤波方法进行去噪(对比用) medfilter.m 中值滤波方法进行去噪(对比用)(Denoising procedures for various methods Den1.m using semi soft threshold method for image denoising The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image The improved method of den1_9.m semi soft threshold will be changed linear to exponential. The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising Den2.m using the soft and hard threshold function to improve the method of denoising Den3.m using generalized threshold function for denoising Den4.m with adaptive feature threshold function for denoising Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising Meanfilter.m mean filtering method for denoising (contrast) Medfilter.m median filtering method for denoising (contrast))