PN-code-synchronization-simulation

code for creating a histogram for an image in matlab

在matlab中实现心10s电数据动态显示(In the heart of the matlab realize 10s electricity dynamic data display)

稀疏表示用，大家可以参考相关的文档来读此次程序(Sparse representation)

说明：  BP神经网络实现数据分类，实现语音特征信号的分类(BP network realize voice feature classification )

基于 DCT(离散余弦变换 )域的信息隐藏算法是目前应用最广的变换域算法 ,此类算法的最大不足是嵌信息量小。通过分析 DCT域隐藏算法隐藏容量少的原因 ,提出了一种大容量的 DCT域信息隐藏算法。算法首先对载体图像进行频谱均匀化处理 ,然后对图像进行全局 DCT变换 ,并将隐藏信息嵌入到载体图像的低频 DCT系数上 ,信息嵌入采用分段量化的方法实现 ,提取隐藏信息时不需要原始载体图像。实验结果表明 ,该算法的嵌入容量大 ,不可感知性好。(Based on DCT (discrete cosine transform) domain information hiding algorithm is the most widely used transform domain algorithms, the largest of these algorithms is the lack of a small amount of information embedded. Hiding Algorithm for DCT domain by analyzing the hidden reasons for the low capacity, a large capacity of information hiding algorithm for DCT domain. Firstly, the spectrum of the carrier image homogenization, and then the image is a global DCT transformation, and hidden information embedded into the image of the low-frequency DCT coefficients, the information embedded in the methods used to achieve sub-quantization, extract hidden information without the original Vector image. Experimental results show that the algorithm embedding capacity, can not be perceived good.)

UDF添加动量源项 fluent仿真分析虚拟螺旋桨(UDF momentum)

涉及粒子速度计算、圆心和半径拟合、去穷区间的积分、简单滤波器的设计、BP神经网络训练(Involves particle velocity calculation, center and radius of fitting, to poor interval integral, simple filter design, the BP neural network training)

This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image  Toolbox be installed.    Emphasis has  been placed on code efficiency and code reuse.

我自己编写的用遗传算法寻找KSW最佳二维阈值，搞噪效果很好。(I prepared using genetic algorithm to find the best 2D Threshold KSW, engage in noise with good results.)

A Fuzzy Navigation toolbox for a Mobile Robot with Dynamic Obstacles