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| 摘要: |
| 针对电力系统大量录波信号的传输问题，提出了一种压缩数据的实用方法。采用离散小波变换把数据从时域变换到频域，然后对高频系数取门限进行阀值量化，而低频系数则乘以一定倍数变成整型数据，最后把小波分解阶数，量化倍数，被保留的各级高频系数个数、大小和位置，原始数据个数，低频系数个数以及各数据之间的结束标识符一起进行静态Huffman编码。仿真分析表明，数据压缩比和重构误差都很小，证明该方法有效。 |
| 关键词: 低频 数据压缩 高频 量化 Huffman编码 传输 离散小波变换 标识符 门限 阀值 |
| DOI： |
| 分类号:TM711 TP391 |
| 基金项目: |
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| Research of power system fault data compression |
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SUN Miao-ping
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| Abstract: |
| For power system mass data transmission, a practical method of data compression is put forward. Datas are converted from time-domain to frequency-domain by using discrete wavelet transformation. The high-frequency coefficients are quantified according to relevant thresholds and the low - frequency coefficients are changed into integer data by multiplication. Static Huffman coding is carried out with the wavelet level,the multiplication factor,the number, values and positions of high -frequency coefficients,the number of primary data,and the end identifiers. Simulative analysis shows that both data compression ratio and reconstruction error are very small and the method is valid. |
| Key words: data compression,Huffman coding,wavelet transformation |
