APFandPF

Computing the BER for MIMO system with MINIMUM MEAN SQUARE ERROR Equalization in a Rayleigh fading channel.

包含了滞环控制的.m文件和.mdl文件，所建模型是单相PWM(.m File contains the .mdl file and hysteresis control, the model is a single-phase PWM)

共振解调,轴承故障分析程序,对故障信号进行小波分析，获取轴承故障信息(Demodulated resonance, bearing failure analysis program, the fault signal wavelet analysis for bearing fault information)

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：  数据同化算法例程 enkf matlab 卫星数据(data assimilation enkf matlab)

全排列矩阵，依次输入exchange swap tianchongJ即可，若想修改全排列矩阵的大小，可在MATLAB中打开tianchongJ修改J和N。 (Permutation matrix, followed by the input exchange swap tianchongJ can, if you want to modify the size of permutation matrix can be modified in MATLAB to open tianchongJ J and N.)

基于MATLAB的元胞自动机模型代码 Diffusion limited aggregation 扩散限制聚集模型 (MATLAB-based cellular automata model code Diffusion limited aggregation )

实现了卡尔曼滤波算法，多维数据输入输出，有相关注释。(KalmanFilter)

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

基于最小风险的贝叶斯分类器，用于数字分类识别(Bayesian minimum risk classification for digital classification)