Project

本程序先生成一个“Blocks”信号，然后加上高斯白噪声，再用 db3 小波进行分解， ％ 以说明信号和噪声在各个尺度上的表现。(this program as a "Blocks" signal, then add white Gaussian noise, reuse db3 wavelet decomposition,% to illustrate signal and noise in various scales performance.)

Slow feature analysis using matlab

Find local maxima in matlab

image compression using guassian pyramid method

MATLAB在光学实验中的应用,matlab的一些代码！(MATLAB applications in optical experiments, matlab' s some code!)

matlab作图精典教案，适合初学者学习使用(matlab drawing classic lesson plans for beginners to learn to use)

Matlab source code for Bidirectional Associative Memory (BAM) neural network.

主分量分析是一种基本的多维数据描述方法，是一种能使多维数据按照实际研究的需要更好地描述出来的变换方法。(Principal component analysis is a basic description of the method of multidimensional data is a multidimensional data in accordance with the needs of the actual research to better describe the transformation method can make.)

POLAR码在AWGN信道下仿真 码长从512到4096(POLAR code simulation in AWGN channel)

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))