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电能质量数据的DCT压缩方法研究 被引量:1

Study on DCT for Power Quality Dates
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摘要 变换编码对于电能质量数据压缩的提高是一项很重要的技术。文章首先介绍了离散余弦变换(DCT)的基本概念,然后对电能质量数据进行映射变换,并利用MATLAB进行仿真研究,利用离散余弦变换将原始电能质量数据映射到离散余弦空间,产生了更有效更紧凑的系数,但是直接对采样数据进行DCT处理,压缩比与精度成反比。提出数据复制组合方法进行改进,实验证明此方法有利于熵编码压缩码率和数据精度的提高。 Transform coding is a very important technique to improve the compression performance of the power quality dates.First of all,the conception of discrete cosine transform(DCT) is introduced in the paper,then the power quality dates is transformed to the simulation results based on Matlab show that the rate of coding can be improved when the power quality dates is mapped to discrete cosine interspaces via discrete cosine transform,however,the sampling-data is treated with DCT directly,the compression efficiency is opposition to the precision.The method is proposed which improved by copying and composing the data,and the results of experiment is proved that this method can bring more compression efficiency and better precision.
出处 《计算机与数字工程》 2010年第10期25-27,共3页 Computer & Digital Engineering
关键词 电能质量 数据压缩 DCT MATLAB power quality data compression DCT MATLAB
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