ImageHalftoningFloyd

利用距离压缩的方法进行脉冲压缩的Matlab程序源代码(Range compression method utilizing pulse compression Matlab source code)

The program computes the solution to a Laplace problem by the boundary element method.

美国弗州大学的讲义,用cotas环实现载波恢复(The United States notes the University of Virginia, and realize carrier recovery loop cotas)

电阻抗层析医学成像软件包，MATLAB语言编写，带有说明，以及演示用法(Electrical impedance tomography in medical imaging software package, MATLAB language, with descriptions and usage demo)

MATLAB程序，用以实现2FSK数字信号的产生(MATLAB program to achieve generation of 2FSK digital signal)

说明：  CMA算法均衡器的MATLAB源代码。CMA算法是是Bussgang类盲均衡算法中最常用的一种。(CMA algorithm equalizer MATLAB source code. CMA algorithm Yes Yes Bussgang type blind equalization algorithm most commonly used.)

16 QAM modulation mfile

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

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plot of the hyperbolic paraboloid