MATLAB

一个对图像二值化的界面设计，能实现打开及保存等功能，包含M文件及GUI界面。(An image binarization of interface design, to achieve open and save functions, including the M documents and GUI interface.)

gps卫星信号捕获程序。。。。。。。。。。。。(buhuo)

对信号进行希尔伯特变换，来进行故障诊断。及其有效的方法(The signal hilbert-huang transform, for fault diagnosis. And effective method)

SURF_matlab程序及样本,有需要的可以看一下(SURF_matlab procedures and sample, there is a need to look at)

浙大蔡登，何晓飞写的降维，特征选择等机器学习的源码 包括：谱回归，降维，特征选择，主题模型，矩阵分解，稀疏编码，哈希，聚类，主动学习，矩阵学习。 是一个很好的机器学习源码资料。(cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduction (Subspace learning) Feature selection Topic modeling and GMM Matrix factorization Sparse coding Hashing Clustering Active learning Ranking and Metric learning )

在matlab编程环境下的标准粒子群（PSO）优化算法程序(err)

永磁同步电机的仿真模块，是一个很有用的东东，能够很好的用于风力发电系统仿真建模。(building model for wind power system.)

利用MATLAB环境编写的程序集和，用来对波导杆上的超声波传播进行模拟。(PCdisp (Pochhammer-Chree dispersion) is a small toolbox of Matlab routines which simulate numerically the generation and propagation of ultrasonic waves in a cylindrical waveguide. PCdisp can: Trace the dispersion curves (wavenumber-frequency) for all propagating and evanescent modes in the waveguide Find and plot the distribution of displacements and stresses of a mode in the waveguide Use modal analysis to compute the amplitude of modes created in the waveguide by external excitations Simulate the dispersive propagation of waveforms along the waveguide.)

几种经典的降维工具的matlab程序。供想学习流形学习算法的朋友分享。(This is a dimension reduction toolbox developed by Laurens van der Maaten(MISS). You are free to use, modify, or redistribute this software in any way you want, but only for non-commercial purposes. This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function.)

matlab实现运动模糊图像的恢复的维纳滤波复原法以及直接调用维纳滤波函数的方法(Matlab to achieve the restoration of motion-blurred images Wiener filtering restoration method and the direct call of Wiener filtering function method)