面向超声无损检测数据的改进自适应哈夫曼编码  

Improved Adaptive Huffman Coding for Ultrasonic Non-destructive Testing Data

作　　者：熊小武 张胜[1] 田淞源 张耀波 XIONG Xiao-wu;ZHANG Sheng;TIAN Song-yuan;ZHANG Yao-bo(School of Information and Engineering,Nanchang Hangkong University,Nanchang 330063,China)

机构地区：[1]南昌航空大学信息工程学院,南昌330063

出　　处：《南昌航空大学学报（自然科学版）》2024年第2期89-96,共8页Journal of Nanchang Hangkong University(Natural Sciences)

基　　金：国家自然科学基金(62261037);江西省教育厅科技项目(GJJ170575)。

摘　　要：随着无损检测精度要求的提高,多探头检测、密集采集点等产生大量数据的技术被广泛使用,这引起了检测数据传输效率低和存储空间负担大等问题。为提高数据传输效率,减轻存储空间负担,提出一种带阈值的快速自适应哈夫曼编码方法。该方法通过减少相邻采集点处超声波的冗余信息、设置字符出现阈值和采取局部更新编码表的方式改进传统自适应哈夫曼编码。对比实验表明,该方法在数据分布不平滑时,压缩效果优于Deflate编码、LZW编码以及自适应哈夫曼编码,且压缩速度较改进前的方法提高了100%。With the increasing demand for higher accuracy in non-destructive testing,technologies such as multi-probe detection and dense sampling have been widely adopted.These methodologies generate substantial quantities of data,which in trun leads to challenges concerning data transmission efficiency and storage space.To address these issues,this paper proposes a fast adaptive Huffman coding method with a threshold.It reduces the redundant information of ultrasonic signals at adjacent sampling points,establishes a threshold for character occurrence,and adopts a local update strategy for the coding table.Comparative experiments demonstrate that this method outperforms Deflate coding,LZW coding,and traditional adaptive Huffman coding when dealing with non-smooth data distributions.Additionally,the compression speed is improved by 100%compared to the previous methods.

关 键 词：无损检测 无损压缩 自适应哈夫曼编码 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]