MRAC-Adaptive-2010

说明：  这是一种对遗传算法的Matlab实现，此算法主要应用于求函数的极值。(This is a Matlab implementation of genetic algorithms, this algorithm is mainly used in extreme demand function.)

对三个点进行回波模拟成像，算法经典。简、建立了回波模型(Three points on the simulated echo imaging, the classic algorithm. Jane, the establishment of echo model)

一种用于多目标数据互联的matlab程序，在杂波环境下，实现卡尔曼滤波和最近邻数据数据互联，同时实现卡尔曼滤波与慨率数据的互联.(A method for multi-target tracking matlab procedures in a cluttered environment to achieve Kalman filtering and the data nearest neighbor data association, while achieving the interconnection of the Kalman filter with generous rate data.)

说明：  基于径向基的神经网络程序。根据目标函数获得样本输入输出(Based on radial basis neural network procedures. According to the objective function to obtain a sample input and output)

Introduction to Data Mining Pang-Ning Tan chapte 4 分类基本概念课件改编版。加入 纯净度测量matlab函数，增益matlab函数，以及只有结果的例题的解题过程。(Introduction to Data Mining Pang-Ning Tan chapte the 4 classification basic concept courseware adaptation. Join purity measurement matlab function, gain matlab function, and only the results of examples of the problem solving process.)

计算分段三次多项式插值的系数,计算三次样条插值函数的系数组M(Calculating the coefficients of piecewise cubic polynomial interpolation, cubic spline interpolation function calculating the coefficients M)

APF 在MATLAB的环境下，用SIMULINK进行仿真，基于的算法是 环宽控制(APF MATLAB)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

冈萨雷斯数字图像处理配套matlab例程，第三章。代码里面有详细解释，适合初学者同步学习。(Gonzalez digital image processing supporting Matlab routines, chap. There is a detailed explanation of the code, suitable for beginners synchronous learning.)

自适应信号处理，基于QRD-LSL算法的滤波器算法的仿真(Adaptive signal processing, based on QRD-LSL algorithm simulation of the filter algorithm)