Image-Fusion-Toolkit

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

通过此程序可以对通过建立偏最小二乘法和互信息偏最小二乘法两种模型来预测燃油品质，并对两种方法进行比较(This procedure can be through the establishment of mutual information and partial least squares PLS two models to predict fuel quality, and compare the two methods)

已知三点，求过三点的圆的半径，和圆心坐标。若三点在同一直线上或有两点重叠则返回覆盖三点的最小圆半径 开发环境 Matlab(failed to translate)

pid控制仿真,基于matlab的一个PID的程序，打开就可使用(pid control simulation, based on a PID matlab program, ready to use)

研究并仿真关于无线通信中MIMO系统注水算法的功率分配(waterfill poweralloction)

matlab program for power system

运行optical.m文件，进入gui界面，能够实现对lens镜片，高度，宽度，半径等的调整，能够追迹光线，并调整光线的颜色，并输出追迹后的数据，焦点等数据(Run optical. M file, into the GUI interface, can realize the lens glasses, height, width, radius and adjustment, can tracing the light, and adjust the color of the light, and output the data after tracing, focus and other data)

unsupervised kmeans clusetring algorithm of data

网格划分程序，详细讲述了圆形的等边三角形划分，正方形的均等划分(Meshing program, a detailed account of the equilateral triangle divided circular, square equal division)

是两个综合性较强的实例，分别是Visual C++实现的基于神经网络的文字识别系统和车牌定位系统(Are two examples of more integrated, namely Visual C++ implementation of text based on neural networks and the license plate recognition system positioning systems)