myWork1

有关于CDMA的多用户盲检测的matlab源程序，非常好用。希望对大家有用(about the CDMA matlab blind source separation is very cool got it!)

k—均值分割，分割效果明显，在Matlab下完美实现(K-segmentation, segmentation obviously perfect realization in Matlab)

这是一个系统辨识例子，通过该例子可以深入理解系统辨识的相关知识及MATLAB编程(This is an example of system identification, through the example of system identification can be in-depth understanding and knowledge of MATLAB programming)

基于随机集理论多目标跟踪算法matlab工具包，转自VoBN，真大牛大腿，还在犹豫什么。。(Based on the theory of random sets multi-target tracking algorithm matlab toolkit, carried VoBN, really big cow thigh!!)

说明：  基于Matlab的QPSK算法仿真，包含了算法结构，仿真图形等，仿真了通信过程中的调制过程。(Matlab simulation based on the QPSK method, including the algorithm structure, graphics, simulation, simulation of the communication process in the modulation process.)

用HOUGH检测直线的时候是两个未知量,因为轴半径和相角可以确定一条直 线，在HOUGH域出现累计最大点就可能是原域中的直线。现在回到圆的检测 上来，确定一个圆需要什么：X坐标，Y坐标，半径三个未知量吧，好了，现在， 你做一个三维空间的HOUGH域，以这三个未知量作为三个轴，现在按照一定步长 进行三重循环，在最内层循环是这样的，X,Y 确定，以不同的半径进行搜索，如 果你的X,Y刚好就是实际图像的X,Y处，半径又搜索到实际真实的半径(The HOUGH detect straight when two unknown amount of axis radius and phase angle can be determined in a straight line, in the HOUGH domain cumulative maximum point may be the straight line of the original domain. Now back to the circle detection up to determine what a circle: X coordinate, Y coordinate, radius three unknowns, now, you do the HOUGH domain of a three-dimensional space, three to three unknown quantity as axis, in accordance with a certain step size triple loop, is such that in the innermost loop, X, and Y determined search for a different radius, If you X, Y, exactly is the actual image of the X, Y, at the radius radius of the search to the actual real)

A Simple Singular Value Decomposition matlab code to compress an image

说明：  模拟退火算法及禁忌搜索算法的matlab源程序(Matlab source program of simulated annealing algorithm and tabu search algorithm)

很好的压缩感知的国外的书籍材料,对于我们的学习,尤其初学者很有帮助(ON划词翻译ON实时翻译 Very good material of compressed sensing of foreign books, for our learning, especially for beginners very helpful)

说明：  计算一组随机数的概率密度函数并画出图像，也可以读取一组数据生成它的概率密度函数。(Calculate the probability density function of a group of random numbers and draw the image. You can also read a group of data to generate its probability density function.)