alignment

amplitude shift keying

刘金锟老师的先进PID控制及其matlab仿真第二版(Liu Kun, a teacher of advanced PID control and its simulation of the second edition of matlab)

eigsolution for dynamic system

说明：  in this matlab code we have used a new technique for imge processing -segmentation-

说明：   在MATLAB中开发的最速梯度法算例(in MATLAB development of the steepest gradient method counting cases)

简单的mean-shift 程序 matlab环境，方便理解。(Simple mean-shift program matlab environment for easy understanding.)

Program ADI-FDTD with PEC made in MATLAB whithou PML

维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波维纳滤波(Wiener filterWiener filter)

电力系统中由于采用了很多电力电子设备，引入了大量谐波，致使电能质量降低，改程序可以求出谐波的幅值，频率和相位(Spectrum analysis)

优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。 本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。 (Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy． This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance)