Edge_preserving_smoothing(1)

利用傅里叶变换，从理论上实现了混合信号的频谱分析，能够反应信号的真实频率及其幅值 (Fourier transform theory, mixed-signal spectrum analysis, to reflect the true frequency and amplitude of the signal )

book to learn Visual c++ and logiciel

用kalman滤波算法来跟踪鼠标, 小有意思的程序, 有助于理解kalman算法(Using kalman filter algorithm to track the mouse, a small interesting programs, help to understand the kalman algorithm)

粒子优化算法pso，matlab源代码~~~~(Particle optimization algorithm pso, matlab source code)

pnn分类器算法，用MATLAB源码，可以进行分类。(pnn classifier algorithm, using MATLAB source code can be classified.)

《MATLAB实用教程---控制系统仿真及应用》的配套光盘，不但便于读者使用，而且给任课老师提供了生成数量不限的练习题的功能，便于因人施教。希望对大家有帮助(" MATLAB practical tutorial--- Control System Simulation and Application" matching discs, not only to facilitate the reader to use, but are not limited to the classroom teacher provides a number of functions to generate exercises, to facilitate individualized instruction. I hope everyone has to help)

线性调频雷达的距离多普勒谱目标仿真程序；主要应用与高频地波雷达(Distance chirp radar Doppler spectra target simulation program)

基于量子的粒子群优化算法,该算法通过粒子群有量子的行为，提高了算法的寻优能力，增强了算法的全局搜索能力，有效的避免了“早熟”问题。(Quantum based particle swarm optimization algorithm.The algorithm improves the searching ability of the algorithm by quantum behavior of particle swarm, and enhances the global searching ability of the algorithm, and effectively avoids "premature" problem.)

数字信号处理及其Matlab实现.rar 学以致用, MATLAB是我辈利器(Digital signal processing and Matlab realize. Rar application, MATLAB is my generation tool)

许多重要的机械系统平稳运行机制下(负载),但许多观察到的症状在某种程度上取决于条件在系统负荷和/或环境条件。因此状态监测的一个了这类系统应该有一些可能的症状观察到一个标准的荷载工况。(Many critical mechanical systems operate in a non-stationary regime (load ), and many observed symptoms of its condition depend in a some way on a system load and/or environmental conditions. Hence the condition monitoring of a such systems ought to have some possibility of rescaling of observed symptoms to a standard load condition. This papershows such a possibility of a symptoms rescaling in application to multidimensional vibration condition monitoring. It is shown on some real example of vibration condition monitoring, that rescaling of symptoms can make more reliable theassessment of current system condition, as well as its prognosis.)