M. Moldovan, C. Baylis, Michael Wicks, Joshua Martin, R. Marks
{"title":"使用分段线性方法的啁啾优化","authors":"M. Moldovan, C. Baylis, Michael Wicks, Joshua Martin, R. Marks","doi":"10.1109/WDD.2012.7311265","DOIUrl":null,"url":null,"abstract":"A chirp optimization for in-band flatness under specific spectral constraints has been simulated in MATLAB using a search through piecewise linear characterizations of the chirp's time-frequency profile. In general, the piecewise linear chirp consists of both up- and down-chirps. An exhaustive search seeks the chirp best satisfying in-band energy and flatness criteria.","PeriodicalId":102625,"journal":{"name":"2012 International Waveform Diversity & Design Conference (WDD)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Chirp optimization using piecewise linear approach\",\"authors\":\"M. Moldovan, C. Baylis, Michael Wicks, Joshua Martin, R. Marks\",\"doi\":\"10.1109/WDD.2012.7311265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A chirp optimization for in-band flatness under specific spectral constraints has been simulated in MATLAB using a search through piecewise linear characterizations of the chirp's time-frequency profile. In general, the piecewise linear chirp consists of both up- and down-chirps. An exhaustive search seeks the chirp best satisfying in-band energy and flatness criteria.\",\"PeriodicalId\":102625,\"journal\":{\"name\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"volume\":\"102 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Waveform Diversity & Design Conference (WDD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WDD.2012.7311265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Waveform Diversity & Design Conference (WDD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WDD.2012.7311265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Chirp optimization using piecewise linear approach
A chirp optimization for in-band flatness under specific spectral constraints has been simulated in MATLAB using a search through piecewise linear characterizations of the chirp's time-frequency profile. In general, the piecewise linear chirp consists of both up- and down-chirps. An exhaustive search seeks the chirp best satisfying in-band energy and flatness criteria.