{"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}
引用次数: 1
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.