arithmetic coding 中文意思是什麼

arithmetic coding 解釋
算術編碼
  • arithmetic : n. 1. 算術，演算法；計算。2. 算術書。
  • coding : n. 編碼；譯成電碼。
  1. Firstly, four alternative mode was introduces for h. 263 data compress arithmetic : the mode of nonrestrictive sportive vector, syntax - based arithmetic coding mode, the mode of supernal forecast, and the mode of pb frame

    首先詳細介紹了數據壓縮演算法h . 263以及h . 263演算法的四個可選模式:非限制運動矢量模式;基於語法的算術編碼模式;高級預測模式; pb幀模式。
  2. Proposing to adaptively encode run length with 3 symbol ' s arithmetic coding in term of it ' s binary form, which can be generalize any codec using run length. hereby, bdrl is realized to form embedded bitstream

    與一些流行的性能優秀的小波編碼器相比，對于文中的一些測試圖像，在各個比特率時mcgsd的效果都是最好的，峰值信噪比（ psnr ）值都是最高的。
  3. Information systems - compaction algorithm - binary arithmetic coding

    信息系統.壓縮演算法.二進制算術編碼
  4. The arithmetic coding data compression method is very well - known

    算術編碼數據壓縮方法是非常著名的。
  5. 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
  6. Optimizing tip on adaptive arithmetic co - the arithmetic coding data compression method is very well - known

    算術編碼數據壓縮方法是非常著名的。
  7. Information technology - data compression for information interchange binary arithmetic coding algorithm

    信息技術.信息交換用數據壓縮.二進制算術編碼演算法
  8. So we first carried on the research of h. 264 / avc, and put emphasis on its arithmetic coding

    因此，本文首先對其進行研究，重點分析了標準中的算術編碼技術。
  9. Information technology - data compression for information interchange - binary arithmetic coding algorithm

    信息技術.信息交換用數據壓縮.二進制算術編碼演算法
  10. In this paper, a new image coding method based on wavelet transform - improved adaptive binary arithmetic coding, is proposed

    摘要基於零樹小波演算法提出了一種新的圖像編碼方法改進的自適應算術編碼。
  11. Neural networks are used more frequently in lossy data coding than in general lossless data coding, because standard neural networks must be trained off - line and they are too slow to be practical. in this thesis, statistical language model based on maximum entropy and neural networks are discussed particularly. then, an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis

    傳統的人工神經網路數據編碼演算法需要離線訓練且編碼速度慢，因此通常多用於專用有損編碼領域如聲音、圖像編碼等，在無損數據編碼領域應用較少，針對這種現狀，本文詳細地研究了最大熵統計語言模型和神經網路演算法各自的特點，在此基礎上提出了一種基於神經網路和最大熵原理的算術編碼方法，這是一種自適應的可在線學習的演算法，並具有精簡的網路結構。
  12. Context - based adaptive binary arithmetic coding ( cabac ) has been a normative scheme of entropy coding in video coding standards such as h. 264, avs, for its excellent coding efficiency

    基於上下文的自適應二進制算術編碼（ cabac ）以其高效的編碼優勢，被h . 264 、 avs等視頻標準紛紛採用，成為主要的熵編碼方案。
  13. Context based adaptive arithmetic coding is used in the last part of the encoding process as the entropy coding. the mq coder is adopted in jpeg2000

    與其它的熵編碼方法相比，算術編碼能夠取得更好的壓縮效果，但它演算法復雜，運算量相對增加。
  14. 3 ) furtherly, an entropy encoder can compress the quantified values losslessly, and give a better overall compression result, too. in this paper, a new adaptive arithmetic coding scheme is given

    3 ）在熵編碼階段，比較了huffman編碼和算術編碼的優缺點，最後選取了一種自適應的算術編碼方案。
  15. 4 marpe d, schwarz h, wiegand t. context - based adaptive binary arithmetic coding in the h. 264 avc video compression standard. ieee trans

    變長編碼實現簡單計算復雜性低，因此在視頻編碼標準及消費電子產品中被廣泛採用。
  16. So there ’ s a great correlation among the second bitplane. so we offered a new arithmetic coding scheme in which the design of context models is based on level and bitplane. considering the difference between luma and chroma coefficients, we will make it separately

    由於abslevel = 1的高概率出現，使得第二位平面具有很大的相關性，因此文中算術編碼的上下文模型的設計方案主要基於level值和bitplane 。
  17. This thesis gives an overview of entropy coding in jpeg 2000, especially the code - block based coding and context based adaptive arithmetic coding. to optimize the implementation of mq encoder, several methods are adopted to optimize the algorithm which is emulated in matlab

    因此本文對jpeg2000標準中位平面編碼和基於上下文的自適應二進制算術編碼技術作了詳細的分析和研究之後，對自適應算術編碼演算法優化使其更適合於硬體實現。
  18. In this thesis, we review the joint source and channel coding firstly, introducing fundamental theories, design methodologies, and practical applications. secondly, an approach is presented for improving arithmetic coding by embedding hamming distance. the approach prevents error propagation of the arithmetic coding

    作者在對算術編碼做了深入研究的基礎上，運用漢明距離對其加以改進，使算術編碼具有了較好的糾錯能力，克服了算術編碼易受傳輸錯誤的影響，使其適用於通道干擾較大的場合。
  19. 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。
  20. Here we introduce the unique characteristic of h. 264 in detail, which includes intra frame residual coding, integer cosine transformation, binary adaptive arithmetic coding, concept network adaptation layer, an ember of different block sized used for motion prediction and 1 / 8 pixel motion estimation etc

    摘要介紹了h . 264獨有的特點，包括幀內預測、整數餘弦變換、二進制自適應算術編碼、概念性網路適配、多種塊尺寸運動搜索、 1 / 8像素運動估計精度等。
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