matlab

说明：  matlab电机仿真精华50例\异步电机dq0仿真模型(matlab simulation of the essence of 50 cases of electric induction motor simulation model dq0)

fuzzy c means clustering

说明：  用6级移位寄存器实现产生m序列，希望对各位有所帮助(Shift registers with a 6 m sequence generation, want to help you)

用于进行二次规划的matlab源代码(Quadratic programming matlab source code )

电子信息工程专业实验课程，雷达系统仿真实验，有杂波情况下多脉冲两个目标雷达信号处理系统仿真matlab程序(Electronic and Information Engineering Experiment courses radar system simulation experiments, the next two goals clutter case of multi-pulse radar signal processing system simulation matlab program)

优秀论文及配套源码。电压暂降是动态电能质量问题中最受关注的热点之一。大量新型电力电子设备的广泛使用对电网电能质量的要求越来越高，而且电压暂降在电网中又具有一定的传播性。因此，无论从电网还是用户都迫切需要对电压暂降进行研究和治理。对电压暂降的检测是解决电压暂降的前提条件，故本论文主要对电压暂降的检测方法进行研究。 本文分析了国内外短时电能质量扰动检测的研究现状，并着重讨论了短路故障、感应电动机启动和变压器激磁三种电压暂降扰动情况下电压暂降的特性；在此基础上选择了基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析。仿真结果表明，该方法很好地实现了对电压暂降各特征量的检测。 (The voltage sag is one of most hot topics in dynamic electric energy problems. Masses of new power and electron facilities have been put into use widely, requiring a high quality of electric network and power, chiefly the voltage sag. Moreover, the voltage sag can spread in the electric network. So people have every reason to research and control the voltage sag. However, before developing the voltage sag, people have to detect it. On account of the above, this essay will chiefly focus on the detect methods of the voltage sags. In this paper, the status of the short duration power quality disturbance based on the different method are researched firstly, and emphasizes the characteristic of the voltage sag under the situation of the three kinds of voltage sag disturbances like the short circuit fault, induction motor start-up and transformer excitation. On the basis of the above, the short duration power quality disturbance detection method based on S transform is chosen. The complex m)

Analysis of Induction motor

matlab example for photovoltic

在matlab里将.dat格式的心电数据以二进制格式读出。(In the matlab Lane will be. Dat format ECG data in binary format, read out.)

　Kmeans 算法是聚类分析中使用最为广泛的算法之一，其每个类别均用该类中所有数据的平均值(或加权平均)来表示，这个平均值即被称作聚类中心。该方法虽然不能用于 类别属性的数据，但对于数值属性的数据，它能很好地体现聚类在几何和统计学上的意义。(Kmeans algorithm is the most widely used cluster analysis algorithm, each category with the average of all data in the class (or weighted average) to represent the average is known as the cluster center. Although this method can not be used The class attribute of the data, but data for numeric attributes, it can well reflect the significance of clustering on the geometry and statistics.)