{"title":"电能质量信号的高压缩比算法","authors":"R. E. Dapper, A. Susin, S. Bampi, C. Crovato","doi":"10.1109/ISIE.2015.7281664","DOIUrl":null,"url":null,"abstract":"This paper presents a compression algorithm for power quality (PQ) signals, which does not separate the signal into stationary and transient components. The proposed algorithm is composed of a number of different compression techniques which are combined to improve both compression ratio and total computing time. This method is based on a sequence of three phases. The first phase transforms the signal to the frequency domain using the FFT algorithm. In a second phase the signal is approximated by a polynomial approximation algorithm, which is finally compressed by a lossless compression algorithm. The proposed method is characterized by high compression ratio and low computational cost, making its implementation suitable for embedded systems.","PeriodicalId":377110,"journal":{"name":"2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"High compression ratio algorithm for power quality signals\",\"authors\":\"R. E. Dapper, A. Susin, S. Bampi, C. Crovato\",\"doi\":\"10.1109/ISIE.2015.7281664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a compression algorithm for power quality (PQ) signals, which does not separate the signal into stationary and transient components. The proposed algorithm is composed of a number of different compression techniques which are combined to improve both compression ratio and total computing time. This method is based on a sequence of three phases. The first phase transforms the signal to the frequency domain using the FFT algorithm. In a second phase the signal is approximated by a polynomial approximation algorithm, which is finally compressed by a lossless compression algorithm. The proposed method is characterized by high compression ratio and low computational cost, making its implementation suitable for embedded systems.\",\"PeriodicalId\":377110,\"journal\":{\"name\":\"2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)\",\"volume\":\"56 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 24th International Symposium on Industrial Electronics (ISIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.2015.7281664\",\"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 IEEE 24th International Symposium on Industrial Electronics (ISIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2015.7281664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High compression ratio algorithm for power quality signals
This paper presents a compression algorithm for power quality (PQ) signals, which does not separate the signal into stationary and transient components. The proposed algorithm is composed of a number of different compression techniques which are combined to improve both compression ratio and total computing time. This method is based on a sequence of three phases. The first phase transforms the signal to the frequency domain using the FFT algorithm. In a second phase the signal is approximated by a polynomial approximation algorithm, which is finally compressed by a lossless compression algorithm. The proposed method is characterized by high compression ratio and low computational cost, making its implementation suitable for embedded systems.