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用各种窗函数设计FIR数字滤波器，q725a是利用fir2设计滤波器(With a variety of window function design FIR digital filter, q725a is the use of filters fir2 Design)

Introduccion a la Programacion UAQ 1er Semestre

MATLAB gui 设计，下拉菜单控件 的使用，选择对应法选项画出曲线(Use the drop-down menu control, the corresponding option to draw the curve)

伪随机数发生器: “利用随机序列进行间隔控制，选择消息隐藏位”的描述算法、Matlab程序（可参考所给的程序）、原理与步骤(some thing about watermark)

这是一个基于P-Q法的谐波检测方法的matlab仿真模型(This is a method based on PQ harmonic detection method matlab simulation model)

OFDM system orthogonality plot or simulation

说明：  优化问题的几个matlab解法实例，希望给大家带来帮助。(Optimization method several matlab example, hope to bring you help.)

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.)

此算法是Otsu提出的最大类间方差法，利用matlab进行分割图像(This algorithm is proposed by Otsu Otsu method, used to segment image in matlab)

实现字符识别功能，实验报告，详细，容易理解(To achieve character recognition function, experimental report, detailed, easy to understand)