{"title":"Synthesises of a Frequency-Time Filter Bank Based on Weyl-Heisenberg Complex Bases","authors":"V. P. Volchkov, V. Sannikov","doi":"10.1109/DSPA48919.2020.9213251","DOIUrl":null,"url":null,"abstract":"This work is dedicated to the synthesis of a bank of digital filters for frequency-time analysis of complex discrete signals defined on a finite interval. For this purpose, it is proposed to use a special toolkit - a complex signal bases of Weyl-Heisenberg. It is shown that this approach allows to flexibly adjust the time-frequency characteristics of digital filters in accordance with the desired pattern and leads to a multi-speed multi-channel filter procedure, allowing for a fast computational implementation. The final formulas describing the filter bank are obtained, and an analysis of its computational efficiency is given.","PeriodicalId":262164,"journal":{"name":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","volume":"2023 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 22th International Conference on Digital Signal Processing and its Applications (DSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPA48919.2020.9213251","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
This work is dedicated to the synthesis of a bank of digital filters for frequency-time analysis of complex discrete signals defined on a finite interval. For this purpose, it is proposed to use a special toolkit - a complex signal bases of Weyl-Heisenberg. It is shown that this approach allows to flexibly adjust the time-frequency characteristics of digital filters in accordance with the desired pattern and leads to a multi-speed multi-channel filter procedure, allowing for a fast computational implementation. The final formulas describing the filter bank are obtained, and an analysis of its computational efficiency is given.