本文選題：電能質(zhì)量 + 數(shù)據(jù)壓縮��； 參考：《蘭州理工大學(xué)學(xué)報(bào)》2016年06期

【摘要】：為了更好地解決海量錄波數(shù)據(jù)存儲(chǔ)空間過大,數(shù)據(jù)傳輸效率低的問題,提出將二維提升小波、游程編碼、哈夫曼編碼相結(jié)合的數(shù)據(jù)壓縮方法.首先將實(shí)時(shí)檢測的一維電能質(zhì)量數(shù)據(jù)按照周期截取,并依次排列形成二維的數(shù)據(jù),對(duì)該數(shù)據(jù)進(jìn)行二維提升小波分解得到低頻系數(shù)和高頻系數(shù),然后對(duì)高頻系數(shù)進(jìn)行閾值量化,最后將量化后的數(shù)據(jù)與低頻系數(shù)用零行程和哈夫曼進(jìn)行編碼,以進(jìn)一步提高數(shù)據(jù)的壓縮比.仿真實(shí)驗(yàn)結(jié)果表明,本文算法相比較傳統(tǒng)的二維離散小波算法,能在壓縮比提高一倍左右時(shí)將誤差限制在很小的范圍內(nèi).
[Abstract]:In order to solve the problem of too large storage space and low efficiency of data transmission, a data compression method combining 2-D lifting wavelet, run length coding and Huffman coding is proposed. First, the one dimensional power quality data detected in real time is intercepted according to the period, and then arranged in order to form two dimensional data. The data is decomposed into two dimensional lifting wavelet transform to obtain the low frequency coefficient and high frequency coefficient, then the threshold value of the high frequency coefficient is quantified. Finally, the quantized data and the low frequency coefficients are coded with zero stroke and Huffman to further improve the compression ratio of the data. The simulation results show that compared with the traditional two-dimensional discrete wavelet algorithm, the proposed algorithm can limit the error to a very small range when the compression ratio is doubled or so.
【作者單位】： 蘭州理工大學(xué)電氣工程與信息工程學(xué)院;
【基金】：國家自然科學(xué)基金(51267011)
【分類號(hào)】：TM711

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