Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis.

Helene Lachambre, Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Darian Onchis-Moaca
{"title":"Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis.","authors":"Helene Lachambre, Benjamin Ricaud, Guillaume Stempfel, Bruno Torrésani, Christoph Wiesmeyr, Darian Onchis-Moaca","doi":"10.1109/SYNASC.2015.25","DOIUrl":null,"url":null,"abstract":"<p><p>This article deals with the use of optimal lattice and optimal window in Discrete Gabor Transform computation. In the case of a generalized Gaussian window, extending earlier contributions, we introduce an additional local window adaptation technique for non-stationary signals. We illustrate our approach and the earlier one by addressing three time-frequency analysis problems to show the improvements achieved by the use of optimal lattice and window: close frequencies distinction, frequency estimation and SNR estimation. The results are presented, when possible, with real world audio signals.</p>","PeriodicalId":91954,"journal":{"name":"Proceedings. International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","volume":"17 ","pages":"109-112"},"PeriodicalIF":0.0000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405796/pdf/emss-71455.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. International Symposium on Symbolic and Numeric Algorithms for Scientific Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2015.25","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 article deals with the use of optimal lattice and optimal window in Discrete Gabor Transform computation. In the case of a generalized Gaussian window, extending earlier contributions, we introduce an additional local window adaptation technique for non-stationary signals. We illustrate our approach and the earlier one by addressing three time-frequency analysis problems to show the improvements achieved by the use of optimal lattice and window: close frequencies distinction, frequency estimation and SNR estimation. The results are presented, when possible, with real world audio signals.

Abstract Image

Abstract Image

Abstract Image

Gabor变换中的最优窗口和格。应用于音频分析。
本文讨论了最优格和最优窗在离散Gabor变换计算中的应用。在广义高斯窗的情况下,扩展先前的贡献,我们引入了一种额外的非平稳信号的局部窗口自适应技术。我们通过解决三个时频分析问题来说明我们的方法和早期的方法,以显示使用最佳晶格和窗口所取得的改进:近频率区分,频率估计和信噪比估计。在可能的情况下,使用真实世界的音频信号来呈现结果。
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信