biyesheji-

完美的OFDM仿真程序MATLAB（带导频）,可直接运行(OFDM perfect simulation program MATLAB (with pilot), can be directly run)

this is a file about penalty functions in genetic algorithm

说明：  基于matlab 的信号处理方面的程序实现，包括幅频特性，滤波器的设计等(These are program examples about signal and system based on matlab )

matlab exercise hope can be useful

这是一个进行卫星轨道预报的程序。导航卫星；自主轨道预报；状态转移矩阵。无错误(This is a satellite orbit prediction program. Navigation Satellite autonomous orbit prediction state transition matrix. No error)

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))

对图像进颜色空间分割，并进行聚类分析，代码简单，直接运行即可(clustering)

说明：  its an matlab pdf document on aco

完成M=4的正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和物理曲线进行比较。(The completion of M = 4 orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and physical curves for comparison.)

Uniquac liquid liquid extraction this equation is one of the most commonly used equation for Gammas estimation