{"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}
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.
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