BP_nuro-network(MATLAB)

基于三次自然样条的算法实现,实现曲线的拟合，效果很好。(three times natruel spline)

机器人的PID控制之确定性单臂机械手的PD+前馈控制（先进PID控制MATLAB仿真第二版）(PID control of robot manipulator arm of the uncertainty of the PD+ Feedforward control (PID control of advanced simulation of the second edition of MATLAB))

对已有图像进行模糊处理并加噪声，之后进行去模糊处理(Fuzzy image processing of existing and adding noise, to blur after)

fisher线性分类器训练计算样本错误率，画投影直线(fisher linear classifier training sample error rate calculation, draw a straight line projection)

说明：  经典的滤波算法 程序主要用于目标跟踪方面(KF object tracking)

此程序为用matlab编写的基于最小二乘法通过求解广义矩阵特征值及特征向量进行椭圆曲线拟合程序。 程序中x,y分别为采样点的横纵坐标。生成的结果矩阵为椭圆曲线aX^2+bXY+cY^2+dX+eY+f=0中的各项系数。(This program was written with matlab by solving the generalized least square method based on matrix values and eigen vectors of the elliptic curve fitting procedure. Process x, y, respectively transverse and longitudinal coordinates of sampling points. The results generated matrix of elliptic curve aX ^ 2+ bXY+ cY ^ 2+ dX+ eY+ f = 0 in the coefficients.)

采用高斯平滑滤波，多种算子进行边缘检测，设定阈值，两种算法进行图像分割(Gaussian smoothing filter, a variety of edge detection operator, set threshold, the two algorithms for image segmentation)

基于知识的恒虚警检测——KB-CFAR检测器：包括对于无目标、仅有噪声的信号进行KB-CFAR检测的仿真，以及对于含目标、且在瑞利杂波背景下的KB算法仿真。一些程序主要是为了绘图，画出KB-CFAR检测过程中的信号波形以及检测门限对比图；而另一些程序是为了计算KB-CFAR检测过程中的检测概率和虚警概率。(KB-CFAR detectors: simulations of detection to signals with no target but noise only, as well as signals with target and the background of Rayleigh clutter. Some programs are aimed at giving pictures of the signals and detectiong threshold in the process of detection using KB-CFAR algorithm, while other programs are aimed at calculating the detecting rate and false alarm rate of KB-CFAR algorithm.)

说明：  MATLAB的诸多例题和解法，对于matlab基础学习和指导很有用。多大上百例题。(Example and solution of many MATLAB for matlab-based learning and guidance very useful. How hundreds of Example.)

用遗传算法求取函数的最大值。遗传算法的每一步骤都用子函数的形式给出。适合对遗传算法的入门级选手学习、参考。(Using genetic algorithms to strike a function of the maximum. Each step of the genetic algorithm is given in the form of a subfunction. Suitable for entry-level players genetic algorithm learning, reference.)