1) classification mapping
分级映射
1.
264/AVC CAVLC and the characteristics of Huffman Coding are analyzed, and a high efficiency implement of CAVLC decoding based on code classification mapping is proposed in this paper.
264/AVC中的CAVLC解码的特点以及哈夫曼编码特点的分析,提出一种基于码字分级映射的CAVLC高效解码实现。
2) levels of texture
分级纹理映射
3) Multi-level mapping
多级映射
1.
Due to the property of high-order QAM formats,the new scheme,called multi-level mapping GA detection,calculates the sequence weight in step of two bits,resulting in a complexity reduction from exponential in the modulation order to linear,compared to basic GA detection,which greatly reduces the complexity for high order modulation MIMO systems.
针对高阶调制QAM符号的特点,用多级映射的方法来进行高斯逼近,新方法结合树形搜索算法的思想,通过将高阶调制QAM符号拆分成多个4-QAM符号,从而可以每次两个比特的计算序列权重,其算法复杂度与调制阶数成线性关系,从而使得高阶调制系统的检测复杂度大大降低。
4) grade mapping
等级映射
5) four mapping
四级映射
6) Level Association
层级映射
补充资料：肺纹理
肺纹理
由肺动脉和肺静脉组成，支气管壁、淋巴和少量间质组织也参与肺纹理形成。正常情况下肺纹理自肺门向外围肺野逐渐减少变淡，管径依次缩小，分布渐次稀疏，至肺外带不易辨清。肺纹理多少、粗细与个体差异、呼吸状态有关。异常肺纹理阴影结构紊乱、粗细不均、边缘模糊、密度增高。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条