RNN matlab 例程

Simulation of Gray coded MQAM in Rayleigh fading

This simulation script set allows for an OFDM transmission to be simulated. Imagetx.m generates the OFDM signal, saving it as a windows WAV file. This allows the OFDM signal to be played out a sound card and recorded back. Imagerx.m decodes the WAV to extract the data.

MATLAB潮流程序（IEEE14 直角坐标 牛拉法）MATLAB潮流程序（IEEE14 直角坐标 牛拉法）(MATLAB trend (IEEE14 rectangular coordinates Cattle rafa)MATLAB trend (IEEE14 rectangular coordinates Cattle rafa))

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))

说明：  空时自适应信号处理，用于合成孔径雷达东目标检测，ACP，AEP方法(Space time adaptive signal processing, used for SAR East target detection, ACP, AEP methods)

很好用的软件源代码,计算速度比较快，很好用的软件源代码,计算速度比较快。(It is a very good software)

自己刚学习时练习用的软件，挺好的，如果有初学以尝试下者可(Their practice with just learning the software, very good, if beginners to try the next may)

exemple modeling pmsm simulink

wifi ieee 802.11n parameter programme

基于matlab的人脸识别分析，参考文献为： [1] X.Tan and B.Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (Matlab-based face recognition analysis, references to: [1] X. Tan and B. Triggs. Enhanced Local Texture Feature Sets for Face Recognition under Difficult Lighting Conditions, In Proceedings of the 2007 IEEE International Workshop on Analysis and Modeling of Faces and Gestures)