Quick-Jack

说明：  VC++和matlab编写的时频工具箱，可以将C++源程序转换为matlab格式。本站有个这个源程序，但没有C++部分。这个版本最全。(VC++ and write the time-frequency toolbox matlab, C++ source code can be converted to matlab format. This site has a source, but no C++ parts. This version is the most complete.)

模糊数学在聚类分析中的作用(matlab代码)(Fuzzy clustering analysis of the role in the (matlab code))

关于matlab fixunknowns函数问题给出我的解答(Give me answers about the issue of the matlab fixunknowns function)

一些介绍系统参数辨识方法的论文，包括迭代梯度算法，最小二乘算法等。很好的资料。(Some paper describes the system parameter identification methods, including iterative gradient algorithm, least squares algorithm. Good information.)

MYGUI3.2改造 - 完善文字的换行显示，并为中文支持自动换行(MYGUI 3.2 transformation- perfect wrap text display, and support for Chinese Wrap)

卡尔曼滤波的完整C++源代码，非常全，内含matlab相关的程序，使用时请结合具体状态方程。(Kalman filtering the complete source code, very full.)

基于均匀圆阵的信号二维方向角高精度估计 (Angular precision estimates based on two-dimensional uniform circular array signal direction)

通过程序控制CMD程序的输出,并对其进行解析和过滤(CMD program through the control output, and its analysis and filtering)

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)

File Transfer application