bloqueacceedisc

自行设计产生两个离散序列信号，对其进行相加、乘及卷积运算。 利用filter命令求下面LTI系统的冲激响应，画出系统的零极点图，判断系统的稳定性、因果性。 绘出系统的频响曲线 (To design of two discrete sequence of signals , their sum , multiplication and convolution . Seeking the following LTI system impulse response filter command , draw system pole-zero diagram to determine the stability of the system , causality . Mapping the frequency response curve )

通过传统互相关的方法来进行声源定位的程序,最后实现延迟差的估计(Estimated by the traditional method of cross-correlation to the sound source localization process, the final realization of the delay difference)

wsn网络多尺度数据采集于测量 原始matlab仿真代码(Sensor networks, multi-scale measurement)

Permanent magnet synchronous generator wind energy conversion with SPWM

Dynamic Website creation is easy with drupal,this book gives a nice introduction to drupal.

一维波动方程计算的程序，有限差分法,很有用的程序(Program of one-dimensional wave equation, finite difference method fdtd)

Calculator is used to verify the arithmetic results using matlab

simulation direct foc in Matlab

说明：  潮流计算是电力学名词，指在给定电力系统网络拓扑、元件参数和发电、负荷参量条件下，计算有功功率、无功功率及电压在电力网中的分布。潮流计算是根据给定的电网结构、参数和发电机、负荷等元件的运行条件，确定电力系统各部分稳态运行状态参数的计算。通常给定的运行条件有系统中各电源和负荷点的功率、枢纽点电压、平衡点的电压和相位角。待求的运行状态参量包括电网各母线节点的电压幅值和相角，以及各支路的功率分布、网络的功率损耗等。(Power flow calculation is a term of power science. It refers to the calculation of the distribution of active power, reactive power and voltage in power network under given network topology, component parameters and generation and load parameters. Power flow calculation is based on the given grid structure, parameters and operation conditions of generator, load and other components to determine the steady-state operation parameters of each part of the power system. Usually, the given operating conditions include the power of each power source and load point, junction voltage, balance point voltage and phase angle. The parameters to be determined include the voltage amplitude and phase angle of each bus node, the power distribution of each branch and the power loss of the network.)

FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分(FCM algorithm is a clustering algorithm based on the division, which makes the idea is to be divided into clusters with the greatest similarity between the object, and the similarity between different cluster minimum. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for the data are divided into hard and fast, and FCM is a soft fuzzy partition)