钢轨超声检测无损压缩算法研究

Shuai Li, Guoxuan Lian, Zhao-bin Peng
{"title":"钢轨超声检测无损压缩算法研究","authors":"Shuai Li, Guoxuan Lian, Zhao-bin Peng","doi":"10.1109/SPAWDA.2015.7364530","DOIUrl":null,"url":null,"abstract":"A large amount of data is produced in the process of ultrasonic testing of rail, and it's necessary to compress the raw data with a loss-less compression algorithm. This paper analyses statistical characteristics of ultrasonic test data of rail, and makes researches on the commonly used loss-less compression algorithm, Huffman compression algorithm and LZW compression algorithm. In order to improve the performance of compression, this paper designs and implements a new loss-less compression algorithm based on the above analysis and then tests the new algorithm with a number of ultrasonic test data files of rail. The test results show that the new algorithm has a relatively high compression ratio and the compression performance is significantly better than Huffman compression algorithm and LZW compression algorithm.","PeriodicalId":205914,"journal":{"name":"2015 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on the loss-less compression algorithm of the ultrasonic testing of rail\",\"authors\":\"Shuai Li, Guoxuan Lian, Zhao-bin Peng\",\"doi\":\"10.1109/SPAWDA.2015.7364530\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A large amount of data is produced in the process of ultrasonic testing of rail, and it's necessary to compress the raw data with a loss-less compression algorithm. This paper analyses statistical characteristics of ultrasonic test data of rail, and makes researches on the commonly used loss-less compression algorithm, Huffman compression algorithm and LZW compression algorithm. In order to improve the performance of compression, this paper designs and implements a new loss-less compression algorithm based on the above analysis and then tests the new algorithm with a number of ultrasonic test data files of rail. The test results show that the new algorithm has a relatively high compression ratio and the compression performance is significantly better than Huffman compression algorithm and LZW compression algorithm.\",\"PeriodicalId\":205914,\"journal\":{\"name\":\"2015 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPAWDA.2015.7364530\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPAWDA.2015.7364530","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

钢轨超声检测过程中会产生大量的数据,需要对原始数据进行无损压缩算法。本文分析了钢轨超声检测数据的统计特性,对常用的无损压缩算法、霍夫曼压缩算法和LZW压缩算法进行了研究。为了提高压缩性能,本文在上述分析的基础上设计并实现了一种新的无损压缩算法,并利用多个钢轨超声检测数据文件对新算法进行了测试。测试结果表明,新算法具有较高的压缩比,压缩性能明显优于Huffman压缩算法和LZW压缩算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the loss-less compression algorithm of the ultrasonic testing of rail
A large amount of data is produced in the process of ultrasonic testing of rail, and it's necessary to compress the raw data with a loss-less compression algorithm. This paper analyses statistical characteristics of ultrasonic test data of rail, and makes researches on the commonly used loss-less compression algorithm, Huffman compression algorithm and LZW compression algorithm. In order to improve the performance of compression, this paper designs and implements a new loss-less compression algorithm based on the above analysis and then tests the new algorithm with a number of ultrasonic test data files of rail. The test results show that the new algorithm has a relatively high compression ratio and the compression performance is significantly better than Huffman compression algorithm and LZW compression algorithm.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信