Fuzzy-Adaptive-PID

This file contains a lab which is developed to implement a low pass filter using windowing technique. We study the way how to design FIR digital filters and how Matlab offers tools for the design.

coding for FVM-based numerical solution

blind multichannel identification

包括图像分析的四部分代码：matlab扩散和高斯函数，线性扩散，线性复扩散，非线性扩散。(It contains four parts： [1]MATLAB function:diffusion.m gauss.m [2]Linear diffusion Applying linear diffusion to images creating linear scale-space. MATLAB code: demo_lin.m Image: haifa1.bmp [3]Linear complex diffusion Applying linear complex diffusion creating Gaussian and Laplacian scale-spaces. MATLAB code: demo_cmplin.m [4]Nonlinear diffusions: Perona-Malik ["Anisotropic diffusion"] Catte et al. regularization of P-M Complex ramp-preserving diffusion Nonlinear edge preserving diffusions.The classical Perona-Malik process: the value of the diffusion coefficient is reduced near edges estimated by the first derivative. Best applied to step edges. A regularized version by Catte et al- the gradient estimation for controlling the process is smoothed by a Gaussian. Proved to be mathematically well-posed. Ramp preserving complex diffusion- best for ramp-type edges. Results are smoother with almost no staircasing effects. MATLAB code: demo_nldif.m Image: ct_scan.bmp)

东南大学的射频资料 有关电磁场分析的 有些难懂噢 有一定参考价值的(Southeast University of RF electromagnetic field analysis of information relating to some hard to understand Oh, there is some reference value of)

水面无人船舶航迹跟踪控制的级联反步法仿真程序，源创代码(The water no one cascade of anti-ship trajectory tracking control step simulation program, the source of a code )

matlab针对股指期货的分笔数据做的交易策略(matlab trading system for index futures)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

曲线拟合系统，输入阶数进行拟合计算和插值计算(Curve fitting system to fit the input order of calculation and interpolation)

ofdm同步偏移估计,主要针对符号的同步(ofdm estimation)