rbfapproximation

主要用于雷达信息处理领域中恒虚警的处理，该程序对理解cfar有很好的帮助(Mainly used for radar information processing in CFAR processing, the program has a good understanding cfar Help)

this program does de graphic convolution of two signals in real time, it gives de value of the convolution

investigation Reentrance problems of Heart

基于Huang TS提出的快速中值滤波算法的MATLAB程序(Based on Huang TS a fast median filtering algorithm MATLAB program)

说明：  　本文对变步长自适应滤波算法进行了讨论,建立了步长因子μ与误差信号e(n) 之间另一种新的非线性函数关系. 该函数比已有的sigmoid 函数简单,且在误差e(n)接近零处具有缓慢变化的特性,克服了Sigmoid 函数在 自适应稳态阶段步长调整过程中的不足. 由此函数本文得出了另一种新的变步长自适应滤波算法,并且分析了参数α,β的取值原则及对算法收敛性能的影响. 该算法有较好的收敛性能且计算量少. 计算机仿真结果与理论分析相一致,证实了该算法的收敛性能优于已有的算法.(In this paper, variable step adaptive filter algorithm to discuss the establishment of a step factor μ and the error signal e (n) between another new nonlinear function. The function has a sigmoid function than the simple and the error e (n) close to zero Department has a slow change in the characteristics of a Sigmoid function to overcome the steady-state phase in the adaptive step length adjustment during the process. this function, this paper gives another new variable step size adaptive filtering algorithms, and analysis of the parameters α, β the value principles and the convergence performance. The algorithm has better convergence performance easy to calculate. Simulation results and theoretical analysis, confirmed the convergence of the algorithm better performance than existing algorithms.)

用专家系统优化下面的PID参数或设计一个专家控制器，被控对象为 并与PI控制算法进项比较(use expert system optimization below the PID parameters, or a design expert controller, and object to the PI control algorithm with a credit comparison)

modele mas avec equation crt

用matlab的m函数实现pid控制的silulink模型，实现了m语言和simulik模型的结合(Matlab m-function to the pid control the silulink model to achieve the combination of the m language and simulik of model)

snake算法，主动几何模型，用来进行基于区域的图像分割。(snake algorithm,for image sementation。)

压缩感知程序，利用CS对一维信号进行完美重构，适合稀疏信号(Compressed sensing applications, the use of CS for one-dimensional signal is perfect reconstruction, suitable for sparse signal)