{"title":"LMD估计瞬时频率的比较研究","authors":"Haomin Dai, Aiqiang Xu","doi":"10.1109/ICINFA.2013.6720434","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of calculating the instantaneous frequency by means of local mean decomposition, four methods were introduced such as Hilbert transform, Teager energy operator, direct quadrature and inverse cosine. By analysis of the advantages and disadvantages of various methods, the following conclusions could be made: first, the phenomenon of end swing by Hilbert transform was obvious; second, Teager energy operator method was easy to susceptible to signal form and noise, and the error was relatively large; third, inverse cosine method could be influenced by signal extreme points and brought in the mutations of instantaneous frequency. To solve the mutations of instantaneous frequency by inverse cosine method, an improved algorithm was proposed, which used cubic B-spline interpolation to obtain the instantaneous frequency of signal extreme points. It was shown from simulation and experimental results that the improved inverse cosine method could avoid the phenomenon of mutation and the error of instantaneous frequency was smaller.","PeriodicalId":250844,"journal":{"name":"2013 IEEE International Conference on Information and Automation (ICIA)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A comparative study on estimation of instantaneous frequency by means of LMD\",\"authors\":\"Haomin Dai, Aiqiang Xu\",\"doi\":\"10.1109/ICINFA.2013.6720434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of calculating the instantaneous frequency by means of local mean decomposition, four methods were introduced such as Hilbert transform, Teager energy operator, direct quadrature and inverse cosine. By analysis of the advantages and disadvantages of various methods, the following conclusions could be made: first, the phenomenon of end swing by Hilbert transform was obvious; second, Teager energy operator method was easy to susceptible to signal form and noise, and the error was relatively large; third, inverse cosine method could be influenced by signal extreme points and brought in the mutations of instantaneous frequency. To solve the mutations of instantaneous frequency by inverse cosine method, an improved algorithm was proposed, which used cubic B-spline interpolation to obtain the instantaneous frequency of signal extreme points. It was shown from simulation and experimental results that the improved inverse cosine method could avoid the phenomenon of mutation and the error of instantaneous frequency was smaller.\",\"PeriodicalId\":250844,\"journal\":{\"name\":\"2013 IEEE International Conference on Information and Automation (ICIA)\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Information and Automation (ICIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICINFA.2013.6720434\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2013.6720434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparative study on estimation of instantaneous frequency by means of LMD
In order to solve the problem of calculating the instantaneous frequency by means of local mean decomposition, four methods were introduced such as Hilbert transform, Teager energy operator, direct quadrature and inverse cosine. By analysis of the advantages and disadvantages of various methods, the following conclusions could be made: first, the phenomenon of end swing by Hilbert transform was obvious; second, Teager energy operator method was easy to susceptible to signal form and noise, and the error was relatively large; third, inverse cosine method could be influenced by signal extreme points and brought in the mutations of instantaneous frequency. To solve the mutations of instantaneous frequency by inverse cosine method, an improved algorithm was proposed, which used cubic B-spline interpolation to obtain the instantaneous frequency of signal extreme points. It was shown from simulation and experimental results that the improved inverse cosine method could avoid the phenomenon of mutation and the error of instantaneous frequency was smaller.