MATLAB30

Matlab code for simulation of radar received power versus range. There are other files for additional features like aperture area, swirling objects and pulse integration Happy learning!

本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 (This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Have been saved because of the trained network weights, so the first use of identification procedures, he can run Release directory Under the executable file, then the test image directory read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may result in knowledge Do not rate very low. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the training Training sample size as much as possible.)

附录MATLAB 图像处理命令 1．applylut 功能： 在二进制图像中利用lookup 表进行边沿操作。 语法： A = applylut(BW,lut) 举例 lut = makelut( sum(x(:)) == 4 ,2) BW1 = imread( text.tif ) BW2 = applylut(BW1,lut) imshow(BW1) figure, imshow(BW2) 相关命令： makelut 2．bestblk 功 举例(Appendix MATLAB image processing an order. Applylut functions : the binary image using lookup tables for 2500 operations. Grammar : A = applylut (BW, lut) For lut makelut = (sum (x (:)) == 4. 2) = imread BW1 (text.tif) BW2 = applylut (BW1. lut) imshow (BW1) figure, imshow (BW2) related orders : makelut 2. For bestblk Gong)

Uses the level set method with reinitialization to compute the movement of fronts under a given velo

自己做matlab与系统仿真时候的matlab代码，仿真弱肉强食系统。(My work for the course of time and system simulation matlab.It is built by matlab code.And it is simulation of jungle systems.)

Matlab实用程序百例第一部分，包含上百个实用程序(The Matlab utility one hundred cases of the first part, contains hundreds of utility)

对图像执行自适应中值滤波，中值滤波器开始大小为3*3(Adaptive median filter)

短时傅里叶变换实现线性调频信号的时频分析(Time-frequency analysis of LFM signal by short time Fourier transform)

LEARN_KALMAN Find the ML parameters of a stochastic Linear Dynamical System using EM.

基于fast独立分量分析方法实现盲源分离(Fast independent component analysis method based on blind source separation to achieve)