bankrupt
发表于 2025-3-21 17:16:08
书目名称Microphone Arrays影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0633375<br><br> <br><br>书目名称Microphone Arrays读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0633375<br><br> <br><br>
Fracture
发表于 2025-3-22 00:03:20
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BRACE
发表于 2025-3-22 01:30:28
Jacob Benesty,Gongping Huang,Ningning PanPresents the benefits of microphone arrays over single sensors from a signal enhancement / spatial filtering perspective.Includes algorithms for dimensionality reduction and fixed and adaptive beamfor
Asseverate
发表于 2025-3-22 08:12:24
978-3-031-36976-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
coagulation
发表于 2025-3-22 09:29:35
Microphone Arrays978-3-031-36974-2Series ISSN 1866-2609 Series E-ISSN 1866-2617
男生如果明白
发表于 2025-3-22 13:53:28
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胶水
发表于 2025-3-22 17:43:30
Adaptive Noise Cancellation,In some applications, it may be more convenient to find a noise reference, which can then be used to adaptively cancel the additive noise at microphones. This chapter is concerned with this problem. Furthermore, as it will be explained, adaptive noise cancellation gives another insightful perspective of distortionless adaptive beamforming.
刻苦读书
发表于 2025-3-23 00:38:15
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Detonate
发表于 2025-3-23 01:38:59
Principal Component Analysis in Noise Reduction and Beamforming,bjective of PCA is the reduction of the dimension of a random signal vector from . to ., where ., with little loss of the useful information. It does so by preserving the variability of the signal as much as possible, where the new variables are uncorrelated. In this chapter, we show how PCA can be applied to noise reduction and beamforming.
obsession
发表于 2025-3-23 09:13:36
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