PNB1

人脸检测 matlab程序 程序简单精炼 适合初步入门人脸检测的初步学习(face detection program)

ics 的malloc实现，采用分离存储，模拟memory的malloc和free等操作。(to realize the molloc and free operation, the lab of ics class)

Kernel_ELM传说中的核-极限学习机，基于官网给的版本，拆分成了训练和预测两个模块，方便大家得到训练模型和预测标签(Kernel_ELM, Extreme Learning Machine using Kernel，including two modules as train & predict)

说明：  本上传讲解了傅里叶变换与频谱分析之间的关系，通过fft的到信号的频谱图(Explained the Fourier transform of the upload and spectral analysis of the relationship between the fft of the signal through the frequency spectrum)

One of the class assignments. Stochastic using mat lab.

车辆信号的磁信号，利用的是各向异性磁阻传感器，信号是利用测试台采集回来的。(Vehicle signal magnetic signal, using the anisotropic magnetoresistive sensor, the signal is the use of test collection back.)

Transfer functions between interfaces can be easily calculated by division of the total (=upward+downward) displacement response on the corresponding interfaces.

说明：  能够实现在导出CST方向图的情况下在MATLAB里面作阵列综合(Can achieve in the export of CST direction map in the case of MATLAB for array synthesis)

音乐教学论文，主要介绍了音乐教学方面的一些技巧。(Music education papers, introduces some of the music teaching skills.)

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.)