A High Quality Time-Frequency Analysis Method

2022 7th International Conference on Computer and Communication Systems (ICCCS) Pub Date : 2022-04-22 DOI:10.1109/icccs55155.2022.9846701

Zhao Ting, Yang Lin, Liang Jishen, Chengxiang Zhang

{"title":"A High Quality Time-Frequency Analysis Method","authors":"Zhao Ting, Yang Lin, Liang Jishen, Chengxiang Zhang","doi":"10.1109/icccs55155.2022.9846701","DOIUrl":null,"url":null,"abstract":"Wigner-Ville distribution (WVD) time-frequency analysis method has an advantage on time-frequency resolution characteristic. However, the method has deficiency on cross term interference and cannot accurately reflect the time-frequency distribution characteristic of signals when analyzing multi-component signals, which limits the practicability of the method. Due to this reason, this thesis proposes the method on high-resolution time-frequency analysis, which combines of smoothed pseudo Wigner-Ville distribution (SPWVD) and WVD by applying SPWVD that has no cross term interference. The algorithm initially binarizes the result of SPWVD signal to be analyzed, then performs matrix operation with the WVD result, and suppress the cross term interference by utilizing the filtering mutual cancellation effect between them, which realizes a satisfied time-frequency analysis results finally. The experimental result shows that the proposed method can effectively remove the cross term interference of multi-component signal, improve the time-frequency aggregation of signal analysis result, restore the real time-frequency distribution of multi-component signal.","PeriodicalId":121713,"journal":{"name":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Computer and Communication Systems (ICCCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icccs55155.2022.9846701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

Abstract

Wigner-Ville distribution (WVD) time-frequency analysis method has an advantage on time-frequency resolution characteristic. However, the method has deficiency on cross term interference and cannot accurately reflect the time-frequency distribution characteristic of signals when analyzing multi-component signals, which limits the practicability of the method. Due to this reason, this thesis proposes the method on high-resolution time-frequency analysis, which combines of smoothed pseudo Wigner-Ville distribution (SPWVD) and WVD by applying SPWVD that has no cross term interference. The algorithm initially binarizes the result of SPWVD signal to be analyzed, then performs matrix operation with the WVD result, and suppress the cross term interference by utilizing the filtering mutual cancellation effect between them, which realizes a satisfied time-frequency analysis results finally. The experimental result shows that the proposed method can effectively remove the cross term interference of multi-component signal, improve the time-frequency aggregation of signal analysis result, restore the real time-frequency distribution of multi-component signal.

查看原文本刊更多论文

一种高质量时频分析方法

Wigner-Ville分布(WVD)时频分析方法在时频分辨率方面具有优势。但该方法在交叉项干扰方面存在不足，在分析多分量信号时不能准确反映信号时频分布特性，限制了该方法的实用性。基于此，本文提出了将平滑伪Wigner-Ville分布(SPWVD)与无交叉项干扰的WVD相结合的高分辨率时频分析方法。该算法首先对待分析SPWVD信号的结果进行二值化处理，然后对WVD结果进行矩阵运算，利用它们之间的滤波互消效应抑制交叉项干扰，最终获得满意的时频分析结果。实验结果表明，该方法能有效去除多分量信号的交叉项干扰，提高信号分析结果的时频聚集性，恢复多分量信号的实时时频分布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2022 7th International Conference on Computer and Communication Systems (ICCCS)

自引率

0.00%

发文量