窗长对盲源分离与波束形成相结合的影响

2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) Pub Date : 2017-05-01 DOI:10.1109/SSPS.2017.8071638

R. Johnson

{"title":"窗长对盲源分离与波束形成相结合的影响","authors":"R. Johnson","doi":"10.1109/SSPS.2017.8071638","DOIUrl":null,"url":null,"abstract":"Beamforming (BF) and Blind Source Separation (BSS) have similar goals in terms of signal separation. Combining both these techniques to overcome the drawbacks faced in both the processes is always an interesting task. BSS suffers a serious issue of permutation ambiguity which can be solved by combining it with BF. While combining both BSS and BF, Short Time Fourier Transform (STFT) is used in order to have the information about the signal's frequency content and the variations of its content over time since all the time related information is lost while we deal the BSS problem in frequency domain. The window length in STFT has a serious effect on the Signal to Interference Ratio (SIR) while the separation of signal is done. The result is tested in a free field environment with two speech sources.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"56 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of window length in combining blind source separation and beamforming\",\"authors\":\"R. Johnson\",\"doi\":\"10.1109/SSPS.2017.8071638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Beamforming (BF) and Blind Source Separation (BSS) have similar goals in terms of signal separation. Combining both these techniques to overcome the drawbacks faced in both the processes is always an interesting task. BSS suffers a serious issue of permutation ambiguity which can be solved by combining it with BF. While combining both BSS and BF, Short Time Fourier Transform (STFT) is used in order to have the information about the signal's frequency content and the variations of its content over time since all the time related information is lost while we deal the BSS problem in frequency domain. The window length in STFT has a serious effect on the Signal to Interference Ratio (SIR) while the separation of signal is done. The result is tested in a free field environment with two speech sources.\",\"PeriodicalId\":382353,\"journal\":{\"name\":\"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)\",\"volume\":\"56 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSPS.2017.8071638\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSPS.2017.8071638","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

波束形成(BF)和盲源分离(BSS)在信号分离方面具有相似的目标。结合这两种技术来克服这两种过程中面临的缺点总是一项有趣的任务。BSS存在严重的排列歧义问题，可将其与BF相结合加以解决。在结合BSS和BF的同时，由于在频域处理BSS问题时所有与时间相关的信息都会丢失，因此使用短时傅里叶变换(STFT)来获得信号的频率内容及其随时间变化的信息。在进行信号分离时，STFT中的窗长对信号的信干扰比(SIR)有很大影响。结果在两个语音源的自由场环境中进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Effect of window length in combining blind source separation and beamforming

Beamforming (BF) and Blind Source Separation (BSS) have similar goals in terms of signal separation. Combining both these techniques to overcome the drawbacks faced in both the processes is always an interesting task. BSS suffers a serious issue of permutation ambiguity which can be solved by combining it with BF. While combining both BSS and BF, Short Time Fourier Transform (STFT) is used in order to have the information about the signal's frequency content and the variations of its content over time since all the time related information is lost while we deal the BSS problem in frequency domain. The window length in STFT has a serious effect on the Signal to Interference Ratio (SIR) while the separation of signal is done. The result is tested in a free field environment with two speech sources.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)

自引率

0.00%

发文量