mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan
{"title":"一种基于字符编码的实时频谱数据压缩方法","authors":"mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan","doi":"10.1109/ICSP54964.2022.9778574","DOIUrl":null,"url":null,"abstract":"Spectrum data is the main research object in the field of radio management, its storage and processing are the key process for radio monitoring. In view of the scanning frequency spectrum has high redundancy, we propose a real-time spectrum data compression method based on UTF-8 coding. This method aims at reducing storage consumption and excessive network load without affecting spectrum data analysis. Considering the similarity between spectrum data, a multi-threshold controlled matching algorithm is designed to pick out the typical spectrum sets represent all spectral data of each signal. Then replace all the original spectrum with a small amount of data to achieve the purpose of compressing. We have verified its effectiveness in several bands, and the results show that this method has good compression effect and low recovery distortion. In particular, the compression ratio is close to 1% at low frequency occupation.","PeriodicalId":363766,"journal":{"name":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A real-time spectrum data compression method based on character encoding\",\"authors\":\"mingsheng zhou, Binbin Deng, Mingming Kong, Ye Yuan\",\"doi\":\"10.1109/ICSP54964.2022.9778574\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum data is the main research object in the field of radio management, its storage and processing are the key process for radio monitoring. In view of the scanning frequency spectrum has high redundancy, we propose a real-time spectrum data compression method based on UTF-8 coding. This method aims at reducing storage consumption and excessive network load without affecting spectrum data analysis. Considering the similarity between spectrum data, a multi-threshold controlled matching algorithm is designed to pick out the typical spectrum sets represent all spectral data of each signal. Then replace all the original spectrum with a small amount of data to achieve the purpose of compressing. We have verified its effectiveness in several bands, and the results show that this method has good compression effect and low recovery distortion. In particular, the compression ratio is close to 1% at low frequency occupation.\",\"PeriodicalId\":363766,\"journal\":{\"name\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSP54964.2022.9778574\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSP54964.2022.9778574","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A real-time spectrum data compression method based on character encoding
Spectrum data is the main research object in the field of radio management, its storage and processing are the key process for radio monitoring. In view of the scanning frequency spectrum has high redundancy, we propose a real-time spectrum data compression method based on UTF-8 coding. This method aims at reducing storage consumption and excessive network load without affecting spectrum data analysis. Considering the similarity between spectrum data, a multi-threshold controlled matching algorithm is designed to pick out the typical spectrum sets represent all spectral data of each signal. Then replace all the original spectrum with a small amount of data to achieve the purpose of compressing. We have verified its effectiveness in several bands, and the results show that this method has good compression effect and low recovery distortion. In particular, the compression ratio is close to 1% at low frequency occupation.