{"title":"Analyzing non-stationary signals: A joint time-frequency and spatial-frequency approach","authors":"Sadiq Ali , Nabeel Ali Khan","doi":"10.1016/j.fraope.2025.100226","DOIUrl":null,"url":null,"abstract":"<div><div>We present a robust non-stationary signal analysis tool that is applied to accurate parameter estimation of multi-sensor non-stationary signals. This tool analyzes multi-sensor signals in a joint Time–frequency and Spatial-Frequency (JTFSF) domain using quadratic and linear representations. It is illustrated that multi-source signals with overlapping Time-Frequency signatures become non-overlapping in JTFSF domains thus allowing more refined signal analysis than conventional Time-Frequency representations. The JTFSF domain representation is applied to solve the parameters (Instantaneous Frequency) estimation problem of closely placed components in the Time-Frequency domain by employing joint Time–Frequency and Spatial filtering. It is illustrated that the proposed tool achieves superior performance than the state of art methods in terms of accuracy.</div></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"10 ","pages":"Article 100226"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Franklin Open","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2773186325000167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present a robust non-stationary signal analysis tool that is applied to accurate parameter estimation of multi-sensor non-stationary signals. This tool analyzes multi-sensor signals in a joint Time–frequency and Spatial-Frequency (JTFSF) domain using quadratic and linear representations. It is illustrated that multi-source signals with overlapping Time-Frequency signatures become non-overlapping in JTFSF domains thus allowing more refined signal analysis than conventional Time-Frequency representations. The JTFSF domain representation is applied to solve the parameters (Instantaneous Frequency) estimation problem of closely placed components in the Time-Frequency domain by employing joint Time–Frequency and Spatial filtering. It is illustrated that the proposed tool achieves superior performance than the state of art methods in terms of accuracy.