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基于小波变换模极大值的电能质量扰动检测与定位.rar-based on wavelet transform modulus maxima of the power quality disturbance detection and location. Rar
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利用小波变换实现对电能质量检测的算法实现-using wavelet transform to detect power quality algorithm
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DSP和小波理论在电能质量监测系统中的应用-DSP and wavelet theory in Power Quality Monitoring System Application
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一种基于小波包对电能质量信号的分析的程序-Wavelet packet based signal analysis of power quality program
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一个毕业程序设计，是用小波和支持向量机对电能质量扰动的识别与分类，主要利用的能量特征。-A graduate program design is the use of wavelet and support vector machines for power quality disturbance recognition and classification, the main characteristics of energy use.
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SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
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wavelet decomposition power quality decomposition
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电能质量数据压缩，基于小波变换的（如Db3 haar）压缩-Power quality data compression, wavelet transform (such as Db3 haar) compression
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关于介绍混合能源系统的供电质量的文章,比较经典,有一定实用型,并且方法很独到,采用小波-Introduced hybrid energy systems on the power supply quality articles, more classic, there are certain practical and very unique method, using wavelet
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Detection of Power Quality Disturbances using
Wavelet Transform
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本文提出了一种自动检测和电能质量扰动分类模糊专家系统。有关干扰的类型包括电压骤降，骤升，中断，切换瞬变，冲动，闪烁，谐波和缺口。据推测，在所分析的波形采样的形式提供。傅立叶变换和小波分析，利用独特的功能获得的波形一个模糊专家系统为主体的决定有关的干扰类型而设计的。仿真研究，验证了该方法的比较研究人工神经网络为基础的分类方法和该方法研究的准确性也报告，以显示该方法的优点-This paper presents a fuzzy-expert system for automated detectio
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小波分解在图像处理和电能质量分析中应用广泛，本文应用小波分解的方法将高频的暂态信号提取出来，获取暂态信号的特征量，就能够有效地计算暂态信号。-Wavelet decomposition in image processing and power quality analysis is widely used, this application of wavelet decomposition method to extract high-frequency transient signals,
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基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring
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The authors present an automatic classification of different power quality (PQ) disturbances using
wavelet packet transform (WPT) and fuzzy k-nearest neighbour (FkNN) based classifier. The training data
samples are generated using parametric mode
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电能质量信号的小波变换代码，包括DB4，HAAR等多种滤波器-wavelet of power quality signal
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The Hilbert–Huang method is presented with modifications,
for time-frequency analysis of distorted power quality signals.
The empirical mode decomposition (EMD) is enhanced with
masking signals based on fast Fourier transform (FFT), for separat
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对基于小波变换的电能质量扰动检测和识别方法进行研究，在总结前人经验的基础上提出自己对算法的改进，并且利用MATLAB软件对改进算法进行仿真分析,取得令人满意的效果,验证所用方法的可行性。-Power quality disturbances detection and identification method based on wavelet transform and make their own improvements on the algorithm on the basis of p
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基于小波变换的信号奇异性检测和去噪Matlab编程，主要用于电能质量检测上。-Based on wavelet transform signal singularity detection and denoising Matlab programming, mainly for power quality detection.
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为保障安全与电力用户供电质量，基于并网逆变器的分布式发电(distributed generation DG)系统要求具备孤岛检测功能。针对被动式孤岛检测法检测盲区(non-detectionzone，NDZ)大、检测时间长以及主动式孤岛检测法影响分布式发电系统供电质量的缺点，提出了一种新的被动式孤岛检测方法。该方法利用小波变换从公共耦合点(point ofcommon coupling，PCC)处的电压信号及逆变器输出电流信号中提取特征量，再通过BP 神经网络进行模式识别来判断是否出现孤岛现象
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IEEE paper : POWER QUALITY ASSESSMENT VIA WAVELET
TRANSFORM ANALYSIS
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