The-clock-drive-signal-source

遗传算法用在TSP问题上的MATLAB程序，很好用的。大家可以下载看看(Genetic algorithm used in the TSP issues MATLAB program, a good use. You can download to see)

分裂场PML吸收层，模拟时谐场，在二维空间的传播。(split PML to simulate the sinsoudal wave )

This simple source codes implement cognitive radio.Hope its useful for you.

This is the region growing segmentation algrithm for gray image, user must add a seed point.

Block-interleaver/deinterleaver according to the IEEE 802.11-2007 Defined by two step-permutation : The first permutation ensures that adjacent coded bits are mapped onto nonadjacent sub-carriers. The second ensures that adjacent coded bits are mapped alternately onto less and more significant bits of the constellation and, thereby, long runs of low reliability (LSB) bits are avoided. Tested and works well

无线传感器网络中采用虚拟力算法进行节点部署时，节点优化过程的matlab算法，产生结果有直观的图形，并且可以根据不同需要进行参数更改。代码导入后可以直接运行(When virtual force algorithm is used to deploy nodes in wireless sensor networks, the matlab algorithm of node optimization process generates intuitive graphics and can change parameters according to different needs. Code can run directly after importing)

RNNSIM ver. 1.0 is a program with an intercative graphical user interface (GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used in training and testing the Random Neural Network(RNN) models. This version (ver. 1.0) implements only the 3 layer feed forward RNN model. In the next versions, the multi hidden layers and the recurrent RNN models can be implemented. To obtain faster training, the training section can be written as a MEX file and invoked from the GUI. If you have the m files in the directory rnnsim for example, then you can run the program following the next steps: 1- run MATLAB as usual 2- from the MATLAB command window, write cd rnnsim 3- from the MATLAB command window, write rnnsim

说明：  matlab仿真与建模的电子书，英文版，需要一定的英文基础(matlab simulation and modeling of e-books, take some basic English)

说明：  车牌检测的Matlab程序。有很好的检测效果 检测出来后截取并归一化。(License plate detection of Matlab. Good detection results detected and normalized after the interception.)

Thresholding of i/p image