{"title":"啁啾z变换的计算代价与广义Goertzel算法","authors":"P. Rajmic, Zdeněk Průša, Christoph Wiesmeyr","doi":"10.5281/ZENODO.44055","DOIUrl":null,"url":null,"abstract":"Two natural competitors in the area of narrow-band spectrum analysis, namely the Chirp Z-transform (CZT) and the Generalized Goertzel algorithm (GGA), are taken and compared, with the focus on the computational cost. We present results showing that for real-input data, the GGA is preferable over the CZT in a range of practical situations. This is shown both in theory and in practice.","PeriodicalId":198408,"journal":{"name":"2014 22nd European Signal Processing Conference (EUSIPCO)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Computational cost of Chirp Z-transform and Generalized Goertzel algorithm\",\"authors\":\"P. Rajmic, Zdeněk Průša, Christoph Wiesmeyr\",\"doi\":\"10.5281/ZENODO.44055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two natural competitors in the area of narrow-band spectrum analysis, namely the Chirp Z-transform (CZT) and the Generalized Goertzel algorithm (GGA), are taken and compared, with the focus on the computational cost. We present results showing that for real-input data, the GGA is preferable over the CZT in a range of practical situations. This is shown both in theory and in practice.\",\"PeriodicalId\":198408,\"journal\":{\"name\":\"2014 22nd European Signal Processing Conference (EUSIPCO)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 22nd European Signal Processing Conference (EUSIPCO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.44055\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 22nd European Signal Processing Conference (EUSIPCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.44055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computational cost of Chirp Z-transform and Generalized Goertzel algorithm
Two natural competitors in the area of narrow-band spectrum analysis, namely the Chirp Z-transform (CZT) and the Generalized Goertzel algorithm (GGA), are taken and compared, with the focus on the computational cost. We present results showing that for real-input data, the GGA is preferable over the CZT in a range of practical situations. This is shown both in theory and in practice.