kmeansgray

turbo的文件用MATLAB的仿真程序有一定的参考价值啊，(SIMULATION TURBO CODE USING MATLAB)

收集的GA的一些源程序，包括交叉选择变异之类的一些。可以在MATLAB下直接使用的。学习遗传算法的可以看看。(GA collected some of the source, including cross-choice variation of such. MATLAB under the direct use. Learning Genetic Algorithm can see.)

数学建模基础教程，对于初学者可以参考，很好的基础建模资料(mathematical modeling basic course for beginners can reference, very good base modeling material )

用于对转子建立有限元模型并进行动力学计算。(Finite element modeling of rotating machines and rotors)

基于MATLAB的遗传算法解决TSP问题的程序(MATLAB-based genetic algorithm to solve TSP problems procedures)

本文档包括，BA_net.m、WS_net.m和randomgraph.m是可以直接运行的文件，分别生成三种不同网络的网络模型和特性曲线等，以及一个说明文档。(This document includes: BA_net.m, WS_net.m and randomgraph.m file can be run directly, namely generation network model and characteristics of three different networks and so on. )

电力电子应用技术的MATLAB/simulink仿真(Power electronics application technology MATLAB/simulink simulation)

基于bregman算法在一维、二维、三维信号处理中的应用matlab工具箱(This toolbox provides the source code associated with the Bregman Cookbook Doc: - BregmanCookbook.pdf In 1D: -L1_SplitBregmanIteration.m : performs the recovery of a sparse signal affected by a known linear operator In 2D: -AddCurveletArray.m : sum the curvelet coefficients of two decomposition structures -AddFrameletArray.m : sum the framelet coefficients of two decomposition structures -ATV_NB_Deconvolution.m : performs the Nonblind Anisotropic Total Variation Deconvolution -ATV_ROF.m : performs the Anisotropic Total Variation Denoising -ITV_ROF.m : performs the Isotropic Total Variation Denoising -Curvelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Curvelet sparsity -Framelet_NB_Deconvolution.m : performs the Nonblind Deconvolution based on Framelet sparsity (Analysis approach) -Framelet_NB_Deconvolution2.m : performs the Nonblind Deconvolution based on Framelet sparsity (Synthesis approach) -ShrinkCurvelet.m : performs the shrinkage of cu)

用charal函数实现对加噪降晰图像的反降晰.charal函数实现约束最小二乘法的算法，其中alpha（1/lamda）由Charalambous确定.反降晰的图像相对于降晰加噪图像清晰度有所提升，但是反降晰的图像存在较为明显的寄生波纹。(Deblurring the blurred image with noise by using Charal function. Charal function implements constrained least squares algorithm, where alpha (1/lamda) is determined by Charalambous. Compared to the blurred image, the sharpness of the image deblurred has improved, but obvious parasitic ripples arise.)

用Matlab仿真实现最小二乘法和总体最小二乘法估计 假设仿真的观测数据 产生，其中 为0均值， 单位方差的高斯白噪声，取n=1,2,....128。 试用TLS，取AR阶数为4，估计AR参数 和正弦波频率；再用SVD-TLS ，估计AR参数 和正弦波频率。 (1)、在仿真中，AR阶数取为4和6。 (2)、执行SVD-TCS时，AR未知。仿真运行至少二十次。 (Simulation using Matlab and the overall least squares least squares estimate assumptions simulated observation data are generated, where 0 mean, unit variance Gaussian white noise, take n = 1,2 ,.... 128. Try TLS, take AR order of 4, estimated AR parameters and the sine wave frequency then SVD-TLS, estimated AR parameters and the sine wave frequency. (1), in the simulation, AR order is taken as 4 and 6. (2), when the implementation of SVD-TCS, AR is unknown. Simulation run at least twenty times.)