lossless compression algorithms 中文意思是什麼

lossless compression algorithms 解釋
無損壓縮演算法
  1. The high entropy of the real and imaginary parts of sar raw data makes lossless - coding compression techniques unfit for sar raw data. in chapter 4, some compression algorithms for sar raw data compression, such as baq, upq, bavq and wt - subbandcade are analyzed and discussed. an improved unrestricted polar quantizer ( upq ), which can enhance the performance of the quantizer is put forward

    第四章分別對塊自適應量化( baq )演算法、非約束式極坐標量化( upq )演算法、塊自適應矢量量化( bavq )演算法和小波變換子帶編碼演算法進行了分析和研究,並詳細討論了這些演算法在工程實際中的應用。
  2. Finally, lossless compression by means of integer lifting scheme is realized. after selecting a practical bases of lifting scheme transform, we put forward to two lossy compression algorithms based on adaptive transform and demonstrate its feasibility and validity by simulation and experiment

    實現了將整數提升框架應用於無損壓縮;選擇了一個實際可行的提升變換基庫,給出了兩種基於自適應變換的有損圖像壓縮演算法,實驗模擬結果證明了演算法的可行性及有效性。
  3. Information technology - procedure for the registration of algorithms for the lossless compression of data

    信息技術.數據無損壓縮演算法的登記規程
  4. Text is a kind of very common resource in digital library, and lossless techniques play an important role in compressing text. starting from the shannon ' s entropy theory, we analyze the lossless compression algorithms, and implement arithmetic coding algorithm in c. in the experiments, we compare four different lossless compression algorithms by their performances such as compression rate, compression rate tendency with the length of data, stability, and complexity, using 35 groups data series with 4 different length

    本文從信息論中shannon熵定理出發,對無損壓縮技術進行系統地分析,用c語言實現了其中的算術編碼演算法,並用它對35組、四種不同長度數據序列進行了壓縮,給出了實驗結果,然後從壓縮比、壓縮比隨字元串長度的變換趨勢、演算法穩定性和演算法復雜性等四個方面對其與其它三種壓縮演算法lzw 、 lz77 、 rle進行了分析與比較。
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