filter

基于matlab图像处理的字符识别。。。。。。。。。。。。。。。。(Based character recognition matlab image processing. . . . . . . . . . . . . . . .)

卡尔曼滤波是现代数字信号处理经典算法，本程序应用matlab语言实现利用卡尔曼滤波器跟踪机动目标。(Kalman filtering is a classic of modern digital signal processing algorithms, the application of this procedure using matlab language maneuvering target tracking Kalman filter.)

说明：  把一个文件夹中的图片根据图片的名称分到两个文件中(Put the pictures in a folder name according to the pictures to the two files )

单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计等等(Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm interpolation error estimates, etc.)

说明：  都是关于空间普估计算法，其中有解相干和非相干算法以及它们之间的对比( the spatial spectrum estimation)

管理学和统计学中都经常用到的层次分析法，matlab程序(hierachical analysis which is often used in management science and stochastical science,matlab code)

说明：  该课题为基于MATLAB的bp神经网络的交通标志识别系统，可以识别禁令标志，警示标志，指示标志三种标志，带GUI界面，流程为，输入测试图，训练，定位，分割，识别。可自动识别是三种中的哪一种。定位是采用颜色的方法，分割是几何位置分割，识别bp神经网络。注释详细。(This project is a traffic sign recognition system based on BP neural network of MATLAB. It can recognize three kinds of signs: prohibition sign, warning sign and indication sign. It has GUI interface. The flow is: input test chart, training, positioning, segmentation and recognition. Which of the three can be automatically identified. The location is based on the color method, and the segmentation is based on the geometric position segmentation to recognize the BP neural network. Note details.)

SISO控制系统性能评价harris指标m文件+mdl文件，其中运用遗忘因子算法对线性回归算法（LR）进行改进(ILR)。希望对大家有所帮助(SISO control system performance evaluation index m harris file+ mdl files, which use forgetting factor algorithm for the linear regression algorithm (LR) to improve (ILR). We want to help)

新加入条件属性对决策属性的依赖度计算函数。基于粗糙集。(The new conditions for accession to the decision attribute attribute dependency calculation functions. Based on rough sets.)

说明：  电力系统节点导纳矩阵的形成，自己编写的供大家参考，谢谢(Power system nodal admittance matrix of the form, I have written for your reference, thank you)