MATLAB-program-teachingbook--2660

非线性误差曲面特性观察，用MATLAB实现BP网络模拟趋近(Observed non-linear error surface characteristics, network simulation using MATLAB tends to achieve BP)

大津法确定图像二值化阈值,为MATLAB语言编写的M文件, 可直接使用(Otsu method to determine the threshold image binarization)

仿真了AM信号的产生过程和方法，过程详尽，方法简单，已经过测试。(Simulation of the AM signal generation process and methods, processes and detailed, the method is simple, has been tested.)

说明：  一个 CREWES集合工具箱，包括对例如距线的最近点和polygon中的点路径问题，对观测系统有用(A CREWES collection kit, including for example, the nearest point from the line and polygon point in the path problem, a useful observation system)

均匀线阵方向图仿真程序 包括静态方向图 阵列方向图 带切比雪夫权的阵列方向图的仿真(With a cut over the right plane array direction Schiff Figure simulation)

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

说明：  rung-kutta 4 he inputs func, x0 and y0 define an IVP y = func(x,y), y(x0) = y0. This provides an approximation to y(x0:h:xn) using fourth-order Runge-Kutta method with step size h

基于matlab的卡尔曼滤波算法的理论介绍和仿真实践，对于信号处理专业的学生入门有帮助(kalman filtering)

This Algorithm comutes demagnetizig tensor from Newell Paper[1] between two rectangular shape elements.Main function is and there is equivallent function written in c-language, you can use it to compile mex file.This script can be used in field of micromagnetics and finite difference magnetic simulation software. 1. A.J. Newell, W. Williams, D.J. Dunlop, J. Geophys. Res. 98, 9551 (1993).

This program will detect the license plate region with segmentation and extraction and recognition