CCA_zq

首先从n个数据对象任意选择 k 个对象作为初始聚类中心；而对于所剩下其它对象，则根据它们与这些聚类中心的相似度（距离），分别将它们分配给与其最相似的（聚类中心所代表的）聚类；然后再计算每个所获新聚类的聚类中心（该聚类中所有对象的均值）；不断重复这一过程直到标准测度函数开始收敛为止。一般都采用均方差作为标准测度函数. k个聚类具有以下特点：各聚类本身尽可能的紧凑，而各聚类之间尽可能的分开。(First, a data object from the n choose k objects as initial cluster centers and for the rest of the other objects, according to their similarity with the cluster center (distance), respectively, assign them to their most similar (represented by cluster center) clustering then calculated for each cluster center received a new clustering (all objects in the cluster mean) repeats this process until the convergence criteria begin until the measure function. Standard deviation is generally used as a standard measure function. K a cluster has the following characteristics: the cluster itself as a compact, but separated as much as possible between each cluster.)

这是一个matlab程序设计方面的文件。有助于学习和应用这一工具。(This is a Matlab program design documents. Contribute to the study and application of this tool.)

CLOSED BOOT CONVERTER

关于图像压缩编码的matlab的实现程序，静态图像压缩标准(About image compression coding matlab realization process, still image compression standard)

TS模糊，包括聚类数选取，输入选择，前件辨识，后件辨识等(TS Fuzzy Model)

BPSK信号衰落的仿真；计算BPSK平均，分散与矢量数据的标准差(Evaluation program of fading counter based BPSK transmission scheme calculate mean, dispersion and standard deviation for the vector data)

simulate in matlab. H inf. Loop Shaping Robust Control vs. Classical PI(D) Control: A case study on the Longitudinal Dynamics of Hezarfen UAV. PI(D) Control System Design.

mathews数值分析书的源代码，用matlab编写，可以对照书本学习。(mathews numerical analysis of the book' s source code, using matlab, you can control book-learning.)

The code is performing white balance of the left and right images.

how to construct a gui using matlab