無損壓縮編碼 的英文怎麼說

中文拼音 [wúsǔnyāsuōbiānmǎ]
無損壓縮編碼 英文
mlp
  • 無 : 無Ⅰ動詞（沒有） not have; there is not; be without Ⅱ名詞1 （沒有） nothing; nil 2 （姓氏） a surn...
  • 損 : Ⅰ動詞1 （減少） decrease; lose 2 （損害） harm; damage 3 [方言] （用尖刻的話挖苦人） speak sarcas...
  • 壓 : 壓構詞成分。
  • 縮 : 縮構詞成分。
  • 編 : Ⅰ動詞1 （編織） weave; plait; braid 2 （組織; 排列） make a list; arrange in a list; organize; gr...
  • 碼 : Ⅰ名詞（表示數目的符號或用具） a sign or object indicating number; code Ⅱ量詞1 （指一件事或一類的...
  • 無損 : lossless
  • 編碼 : encoded; code; coded; encrypt; codogram; coding編碼表 encode table; 編碼程序 builder; 編碼尺 code...
  1. The fifth chapter use huffman coding method of the row difference data and lifting wavelet transform and spiht ( set partitioning in hierarchical tree ) coding method to realize the diagnostically compression of mfl data by judging the significance of data using changing threshold and dynamic area threshold of mfl data

    在第五章通過數據變化閾值和數據動態范圍閾值判斷數據重要性，分別採用行差分數據的霍夫曼編碼方法以及提升小波變換和層次樹集分割（ spiht ）編碼方法實現了數據的檢測無損壓縮。
  2. At last, an ecg distortionless data compression algorithm is proposed in this paper. this algorithm is brief, effective and easy to be processed at real time by single - chip microcomputer

    最後，提出了一種心電數據的無損壓縮編碼方法，該演算法簡單有效，利於單片機實時實現。
  3. The hdcd " code " is transmitted in " inaudible " portions of the standard 16bit redbook stream. eac + flac should capture everything

    簡單翻譯就是， hdcd編碼藏在標準16位數據流（紅皮書定義）中的無法聽到的部分。 eac抓軌加flac無損壓縮，可以獲取一切數據。
  4. Traditional coding algorithms are based on simple n - gram models. those distant constraints and some redundancies in natural language, such as word order redundancies, semantic redundancies and syntactic redundancies, are neglected in the n - gram models. in order to find and reduce those redundancies, we need more intelligent algorithms based on more effective models

    通用無損數據編碼是數據壓縮領域的一個重要的分支，現有的無損數據編碼方法大多是基於n - gram模型的， n - gram模型忽略了自然語言中的遠距離約束和諸如詞序冗餘、語義冗餘、句法冗餘等冗餘，為了找出並減少這些冗餘，需要更有效的語言模型和更智能的演算法。
  5. The dissertation combine the theory, with using integers dct transform to realize grey image lossless compress with the method of reversible color space integers transform and reversible integers dpcm prediction to realize lossless compress from grey image to color image with huffman coding method via visual c + + program

    本文借鑒整數dct變換實現灰度圖像無損壓縮的理論研究成果，將其與可逆的顏色空間整數變換和可逆的整數dpcm預測相結合，採用哈夫曼編碼方法，用vc編程實現了從灰度圖像到彩色圖像的無損壓縮。
  6. An inquirt into image compression and coding technique and the method non - loss compression

    圖像壓縮編碼技術及無損壓縮方法的探討
  7. Research on image lossless compression method based on adaptive bit - level arithmetic coding

    基於二值自適應算術編碼的圖像無損壓縮演算法研究
  8. An adaptive predictive coding based on image segmentation for lossless compression of ultrasonic well logging images

    基於分塊自適應預測的超聲測井圖象無損壓縮編碼
  9. The subimage of the lowest frequency ( ll4 ) is carried out lossless compressed coding ; 2 the subimages on diagonal direction of the highest frequency ( hhl ) is abandoned and is not carried out coding, because it is of great probability for zero, and it little affects visual

    其主要包括對最低頻子帶單獨進行無損壓縮編碼，對最高頻對角線方向子帶捨去不編碼。對其餘各子帶根據視覺特點的不同，分別分配不同的比特數並按其進行零樹量化，最後再遊程編碼。
  10. 3. tracking algorithm for curves, including the method for gray threshold combining space information, lag structure which was used to compress well - logging data during compressing and a progressive - completing method for curves tracing

    3 .曲線跟蹤演算法，包括結合空間分佈信息的大津閾值方法、基於行程編碼的圖像無損壓縮演算法和逐步完成的曲線跟蹤方法。
  11. The experimental results show that the compressed average bit is 8. 3674, 1. 2442 bits less than the original entropy, and the efficiency of rice coding achieves 98. 81 %. and the algorithm also has the advantage of real - time encoding in the system

    經過無損壓縮演算法處理，管道泄漏信號壓縮后的平均位數達到8 . 3674bits ，比原始信息熵降低了1 . 2442bits ; rice編碼的編碼效率達到了98 . 81 % 。
  12. 3. lossy and lossless image compression is realized by means of integer wavelet transform, and the shortcoming of pure lossy compression with non integer ones is overcame. here the influence of different wavelet base to the effect of compression is discussed, and conclusions are obtained as follows : to the choice of wavelet base in spiht image codec, in lossless codec, integer lg5 / 3 and in lossy codec, non integer db9 / 7 wavelet base is recommended

    3 、將整數小波變換應用於圖像編碼之中，克服了非整數小波變換只能有損壓縮的缺點，實現了圖像從有損到無損的壓縮，並分析了不同小波基對壓縮性能的影響，最後得到如下結論：在spiht壓縮編碼中，有損壓縮推薦使用非整數db9 7小波變換，無損壓縮推薦使用整數lg5 3小波。
  13. Third, the quantization of wavelet coefficients based on the embedded zerotree wavelet ( ezw ) is discussed and some improvement is made to it. finally, this paper brings forward a scalable image coding method based on iwt and the improved zerotree quantization, which can realize lossless to lossy image compression, more simple computing, and higher - quality reconstructed image compared with image coding method based on traditional wavelet transform. the experimental results are satisfying

    在此基礎上，提出了一種基於整數小波變換和改進零樹量化方法的可分級圖像編碼方法，該方法可以實現圖像從完全無損到有損壓縮，與基於傳統小波變換及零樹量化的方法相比，運算簡潔，速度快，重構圖像質量高，取得了令人滿意的效果。
  14. Therefore, the main subject of this paper is to design a universal, low complexity, lossless and near - lossless compression algorithm for biomedical signals, fith a series of techniques, including context modeling, adaptive prediction and golomb coding, our algorithm obtains satisfactory results on various kinds of biomedical signals with low complexity of implementation

    從上述考慮出發，本課題研究設計了一個通用、低復雜性的生物醫學信號無損近無損壓縮演算法。通過採用上下文建模、自適應預測和golomb編碼等一系列技術，該壓縮演算法對各類生物醫學信號都獲得了較好的壓縮效果，達到了通用、低復雜性的設計要求。
  15. 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。
  16. The data compession technology is researched, and the problem is solved which quanties of fault recording data are huge and the sending time is long. the transmission success ratio is boroved greatly. the electrical relation of single phase - earth fault of generator stator windings is ndied in detail, and the process of generator losing magnetism faul is also discussed

    利用該標準記錄數據中的冗餘量，進行壓縮是一新思路，對無損壓縮和有損壓縮進行了大量模擬，採用信號源符號1byte的自適應二階算術編碼無損壓縮法，使遠傳數據壓縮率可達72 ，解決了錄波數據遠傳中數據量大、傳送時間長、成功率低的難題。
  17. This paper compares the set of features offered by jpeg 2000, versus the current still - image compression and coding standards. the study concentrates on the aspects such as functions, lossy and lossless compression efficiency, region of interest coding, error resilience and complexity. as a result, a conclusion - how to choose compression and coding standard is elicited

    本文還利用包括j2k模型在內的實現，就jpeg2000與靜態圖像壓縮編碼的現有標準進行了分析和比較，對比了它們在提供的功能、有損和無損的壓縮效率、 roi編碼和差錯恢復以及復雜度等方面的異同，並得出選擇編碼壓縮標準的一個結論。
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