edge-detection

Matlab的RLS算法的语音去噪程序》》》》》(Matlab' s speech denoising procedure RLS algorithm)

使用matlab编写的 配电网前推回代潮流计算程序 使用IEEE 33节点配电系统作为算例，可实现弱环网情况下的潮流计算(Matlab prepared using forward and backward substitution distribution network power flow calculation program uses IEEE 33 node power distribution system as an example, can be realized in case of weak-link network flow calculation)

Voicebox tool for mathlab, speech processing

书籍“先进PID控制器及其MATLAb仿真”的光盘源码，作者：刘金琨(Book " Advanced PID controller and its MATLAb simulation" of the CD source, Author: Liu Jinkun)

matlab编程计算结构系统的频率响应程序(matlab program to calculate the frequency response of structural systems)

matlab similarity matching using SAD filter

利用TI公司的C28X系列芯片进行数字信号滤波，有TI公司的filter库，需要利用C语言去调用汇编语言(With C28X series chip, you can make a digital signal filter. you need to use C language to call the assembly language)

主从多机通信系统可靠性建模，对一个主从多机系统进行建模分析，其中基本单位为元件，有着不同的概率分布寿命，不同元件串联组合成不同部件，部件组合成各分系统，从而根据元件情况可推定系统状态，我们会计算十年中系统地各项指标，推断时间步长为1小时(Master-slave multi-machine communication system reliability modeling, a master-slave multi-machine system modeling and analysis, in which the basic unit for the components, the probability distribution of different life, a different tandem combination of components into different parts, components into subsystems , so the situation could be construed in accordance with the system components, and we will calculate ten indicators in a systematic manner, inference time step 1 hour)

该函数可以读取三导联电极贴片设备采集的运动心电图数据和三轴加速度信号(This function can be read three-lead electrode placement equipment acquisition exercise ECG data and triaxial acceleration signals)

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.)