dgbook

image processing using matlab code......

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

是黄鄂教授的原版论文，主讲希尔伯特黄变换的，很有用的，大家可以看看(it is very useful for singal process)

入侵式杂草优化算法是一种模拟自然界中杂草繁殖进化过程的随机搜索的优化算法，将待求解的问题转化为目标函数优化问题。(Invasive weed optimization algorithm is a simulation of natural reproduction in the evolutionary process of weed random search optimization algorithm, to solve the problem will be converted to the target function optimization problems.)

说明：  粒子群算法，很有用的一个设计程序，如果需要优化，可以使用(Particle Swarm Optimization )

fire using C++ //globals LPVGA lpVga=NULL //pointer to CVga LPPALETTE lpPalette=NULL //pointer to palette

MIMO ML detection Rayleigh channel 採用16QAM(MIMO ML detection Rayleigh channel using 16QAM)

对左右格式的立体图片进行分解和合成，进而可以分别对左右视点进行处理或对合成的立体图片进行观看(parse and get the 3d images of side by side)

用matalab实现一个简单的输入语音的整体信噪比和部分信噪比的比较(Matalab implemented using a simple input speech and the portion of the overall signal to noise ratio SNR comparison)

matlab常用优化算法，含数据分析，解方程，插值与拟合和规划问题。(matlab optimization algorithm commonly used, including data analysis, solution of equations, interpolation and fitting and planning issues.)