Adaptive-Control

MLP 1-layer Nueral Network

matlab程序很详细,主要是kalman滤波部分程序，轨迹估计，以及误差估计等最小线性误差估计(matlab program in great detail, the main part of the program is the kalman filter, trajectory estimation, and error estimation of the minimum linear error estimation)

Low-Complexity Adaptive Filtering Implementation for Acoustic Echo Cancellation ieee Article with matlab simulation

polarimetricImage matlabsad

0.618法是根据黄金分割原理设计的,所以又称之为黄金分割法。 (0.618 method is based on the design principles of the golden section, it is also known golden section method. )

欧洲中心ERA-interim再分析资料处理(ECMWF ERA-interim reanalyse data )

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)

主要解决用MATLAB求解偏微分的问题，着重介绍PDE工具箱，十分适合初学者(Mainly to solve the partial differential use MATLAB to solve problems, focused on PDE Toolbox, is very suitable for beginners)

利用matlab对实验数据进行非线性拟合(Matlab on the experimental data using non-linear fitting)

用matlab读入各个通道载荷数据，计算最大幅值应力，并保存。没有次数。(max load )