golomb meaning in English
戈隆布
Examples
- Exp - golomb codes are applied to code the pairs of the run - length of zero coefficients and the nonzero coefficient for lower storage requirement . c2dvlc is a low complexity coder in terms of both computational time and memory requirement
以往视频编码标准如h . 263定义了可选择的算术编码器，新近的h . 264 avc标准也采用了高效的算术编码方法cabac 。 - The unary code is applied in the binarization of the translation coefficients in the national standard avs . it is preponderant for the small values , but will bring more redundancy for the bigger ones . so the exp - golomb code is introduced for the redundancy reduction
在avs标准中,变换系数level值的二值化方案采用了unary码, unary码对较小的整数值二值化效果较好,但对较大的值则会造成很大的冗余,从而影响了cabac的编码效率。 - This paper presents a algorithm that combined unary code and exp - golomb code . it switched separately in consideration of the difference between luma and chroma coefficients , instead of setting a marking bit which will bing loss at the same time , and also added some corresponding context models . it had been tested on sd , hd and cif , three types of sequence , and the bitrate had been saved by 1 . 24134 % , 0 . 10016 % and 0 . 16029 % on average
针对这种情况,本文引入exp - golomb码来减少较大的变换系数二值化的冗余问题,提出了一种unary码和exp - golomb码相结合的的二进制化算法,该算法避免了设立标志位所带来的附加损耗,分别针对于变换系数中的luma系数和chroma系数的概率分布特点,采取了不同的自适应切换设置,并且相应地增加了概率模型。 - For the exponential - golomb code is a kind of prefix - codes , and the fact that using prefix - code means there are some strings that cannot be used any more . moreover , it may have some redundancies in it . therefore , we introduce a new algorithm that can remove these redundancies in this paper
由于2d - vlc中使用的指数哥伦布码是一种前缀码,而使用前缀码本身就意味已经有一部分的0 / 1串不能被使用,从而产生冗余,所以本文研究了一种可以消除这种码字构造冗余的算法,即基于前缀码的视频熵编码算法( pcbe ) ,对其给予了完整的数学描述,证明了这种算法应用于avs标准中的可行性。 - 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
从上述考虑出发，本课题研究设计了一个通用、低复杂性的生物医学信号无损近无损压缩算法。通过采用上下文建模、自适应预测和golomb编码等一系列技术，该压缩算法对各类生物医学信号都获得了较好的压缩效果，达到了通用、低复杂性的设计要求。