.png){kind=icon}
返回
Power quality disturbance data compression using wavelet transform methods
.png){kind=icon}
PRE
AI
DOI：10.1109/61.637001.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper we present a wavelet compression technique for power quality disturbance data. The compression technique is performed through signal decomposition, thresholding of wavelet transform coefficients, and signal reconstruction. Threshold values are determined by weighting the absolute maximum value at each scale. Wavelet transform coefficients whose values are below the threshold are discarded. while those that are above the threshold are kept along with their temporal locations. We show the efficacy of the technique by compressing actual disturbance data. The file size of the compressed data is only one-sixth to one-third that of the original data. Therefore, the cost related to storing and transmitting the data is significantly reduced.
Keyword:
power quality
wavelets
data compression
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.7
论文数:
9.1K
被引数:
2.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
没有更多内容
没有更多内容