{"title":"Optimisation algorithm for selecting quadratic time-frequency distributions: performance results and calibration","authors":"V. Sucic, B. Boashash","doi":"10.1109/ISSPA.2001.949845","DOIUrl":null,"url":null,"abstract":"A methodology based on a resolution performance measure P for time-frequency distributions (TFDs) was defined to optimise TFDs and select the one which results into best concentration of signal components around their instantaneous frequency laws, and best suppression of the interference terms in the time-frequency plane. The algorithm which implements this methodology is described by Sucic and Boashash (see Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP'01, Salt Lake City, Utah, USA, May 2001). In this paper we investigate the performance and robustness of the algorithm for multicomponent signals of linear and non-linear FM laws. We also study its applicability to signals with more-than-two components at different distances from each other, as well as the two-component signals with non-equal amplitudes of the components' mainlobes.","PeriodicalId":236050,"journal":{"name":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2001.949845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
A methodology based on a resolution performance measure P for time-frequency distributions (TFDs) was defined to optimise TFDs and select the one which results into best concentration of signal components around their instantaneous frequency laws, and best suppression of the interference terms in the time-frequency plane. The algorithm which implements this methodology is described by Sucic and Boashash (see Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP'01, Salt Lake City, Utah, USA, May 2001). In this paper we investigate the performance and robustness of the algorithm for multicomponent signals of linear and non-linear FM laws. We also study its applicability to signals with more-than-two components at different distances from each other, as well as the two-component signals with non-equal amplitudes of the components' mainlobes.
定义了一种基于时频分布分辨率性能指标P的方法,以优化时频分布,选择信号分量在其瞬时频率规律附近最集中的时频分布,并在时频平面上最好地抑制干扰项。Sucic和Boashash描述了实现这种方法的算法(参见IEEE声学、语音和信号处理国际会议论文集- icassp '01, Salt Lake City, Utah, USA, 2001年5月)。本文研究了该算法对线性和非线性调频规律的多分量信号的性能和鲁棒性。我们还研究了该方法对两个以上分量的信号在不同距离上的适用性,以及分量主叶幅值不相等的双分量信号。