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基于状态视图的高效Hilbert编码和解码算法

贾连印 陈明鲜 李孟娟 游进国 丁家满

贾连印, 陈明鲜, 李孟娟, 游进国, 丁家满. 基于状态视图的高效Hilbert编码和解码算法[J]. 电子与信息学报, 2020, 42(6): 1494-1501. doi: 10.11999/JEIT190501
引用本文: 贾连印, 陈明鲜, 李孟娟, 游进国, 丁家满. 基于状态视图的高效Hilbert编码和解码算法[J]. 电子与信息学报, 2020, 42(6): 1494-1501. doi: 10.11999/JEIT190501
Lianyin JIA, Mingxian CHEN, Mengjuan LI, Jinguo YOU, Jiaman DING. State View Based Efficient Hilbert Encoding and Decoding Algorithms[J]. Journal of Electronics & Information Technology, 2020, 42(6): 1494-1501. doi: 10.11999/JEIT190501
Citation: Lianyin JIA, Mingxian CHEN, Mengjuan LI, Jinguo YOU, Jiaman DING. State View Based Efficient Hilbert Encoding and Decoding Algorithms[J]. Journal of Electronics & Information Technology, 2020, 42(6): 1494-1501. doi: 10.11999/JEIT190501

基于状态视图的高效Hilbert编码和解码算法

doi: 10.11999/JEIT190501
基金项目: 国家自然科学基金(61562054),国家留学基金委公派留学项目(201908530036)
详细信息
    作者简介:

    贾连印:男,1978年生,副教授,研究方向为数据库、信息检索、并行计算

    陈明鲜:男,1994年生,硕士生,研究方向为图像处理、信息检索和自然语言处理

    李孟娟:女,1983年生,馆员,研究方向为并行计算和信息检索

    游进国:男,1978年生,副教授,研究方向为数据库和数据仓库

    丁家满:男,1974年生,副教授,研究方向为数据库和数据挖掘

    通讯作者:

    丁家满 tjom2008@126.com

  • 1)对数据不向原点偏斜的情形,可通过适当的坐标变换,如旋转、平移等,使其尽可能地向原点偏斜。
  • 中图分类号: TN919.81

State View Based Efficient Hilbert Encoding and Decoding Algorithms

Funds: The National Natural Science Foundation of China (61562054), Fund of China Scholarship Council (201908530036)
  • 摘要:

    Hilbert曲线是高维降到1维的重要方法,具有较好的空间聚集和空间连续性,在地理信息系统、空间数据库、信息检索等方面有广泛的应用。现有Hilbert编码或解码算法未考虑输入数据对编码或解码效率的影响,因此将不同输入数据同等对待。为此,该文通过设计高效的状态视图并结合快速置位检测算法提出高效的免计前0的Hilbert编码算法(FZF-HE)和免计前0的Hilbert解码算法(FZF-HD),可快速识别输入数据前部为0而无需迭代计算的部分,从而降低迭代查询次数及算法复杂度,提高编解码效率。实验结果表明,FZF-HE算法和FZF-HD算法在数据均匀分布时效率稍高于现有算法,而在数据偏斜分布时效率远高于现有算法。

  • 图  1  1阶、2阶和3阶Hilbert曲线示意图

    图  2  1阶Hilbert曲线对应的4种状态

    图  3  均匀分布下编码效率对比

    图  4  $\beta $对编码效率的影响

    图  5  $\alpha $对编码效率的影响

    图  6  均匀分布下解码效率对比

    图  7  $\beta $对解码效率的影响

    图  8  $\alpha $对解码效率的影响

    表  1  编码状态视图

    状态0000111122223333
    坐标00011011000110110001101100011011
    编码00011110001101101011010010011100
    下阶状态1030021121233302
    下载: 导出CSV

    表  2  解码状态视图

    状态0000111122223333
    编码00011011000110110001101100011011
    坐标00011110001011011110000111010010
    下阶状态1003011232212330
    下载: 导出CSV

    表  3  FZF-HE算法

     输入:X,横坐标
        Y,纵坐标
        n,阶
     输出:Hilbert编码$Z$
     (1) Z←0
     (2) $p$←${\rm{msb}}(\max(X,Y))$//置位检测
     (3) $t$←($n$-$p$-1)%2//计算第$n$-$p$阶状态
     (4) for $i$ from $n$-$p$ to $n$
     (5) $Z{\rm{ = }}Z{{ < < 2 | {\rm{Key}}[}}t{\rm{][}}{x_i}{\rm{][}}{y_i}{\rm{] }}$//查Key视图
     (6) $t{\rm{ = Type[}}t{\rm{][}}{x_i}{\rm{][}}{y_i}{\rm{]}}$//查Type视图
    下载: 导出CSV

    表  4  FZF-HD算法

     输入:$Z$,Hilbert编码
        n,阶
     输出:X,横坐标
        Y,纵坐标
     (1) $X$, $Y$←0
     (2) $p$←${\rm{msb}}(Z)$//置位检测
     (3) $t$←($n$-$p$/2-1)//计算第$n$-$p$/2阶状态
     (4) for $i$ from $n$-$p$/2 to $n$
     (5) ${\rm{coord}} = {\rm{InvKey}}[t][{z_{2i - 1}}{z_{2i}}]$ //查InvKey视图
     (6) $ Y = Y < < 1 | {\rm{coord}} \& 0{\rm{x}}1 $
       $ X = X < < 1 | {\rm{coord}} > > 1\& 0{\rm{x}}1 $
     (7) $t = {\rm{InvType}}[t][{z_{2i - 1}}{z_{2i}}]$//查InvType视图
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-07-05
  • 修回日期:  2020-02-03
  • 网络出版日期:  2020-02-27
  • 刊出日期:  2020-06-22

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