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  • 會議論文

虛擬麥克風於車廂噪音控制的應用

Application of Virtual Microphone for Noise Control in a Car Cabin

摘要


本研究將虛擬麥克風技術運用在車子中,目的是將不是放置在耳朵的麥克風聲壓,運用演算法估測到駕駛者耳朵附近麥克風的聲壓,若耳邊聲壓估測準確,將非常有助於局部主動式噪音控制的效果。運用不同的LMS適應性演算法來訓練模組,藉由調整濾波器長度的個數,來優化誤差收斂。最後運用濾波器來截頻寬,用來濾除不必要的頻率,目的是可以用較少的濾波器長度的個數,就能使誤差有較好的收斂;並且探討聲音突然放大時,演算法能否使誤差穩定收斂。

並列摘要


This research is about applying virtual microphone technique to vehicles. The purpose is to replace nearer microphone with the other microphone for car driver with using algorithms to estimate pressure. If we estimate pressure correctly that will be very useful on local active noise control. We experimented with different LMS algorithms which were adjusted by filter length to produce a model series whose errors would be reduced. The ultimate goal was to filter unnecessary frequency and reduce errors by applying the equalizer to narrow the band and control filter length. The algorithm makes sure when sound is enlarged, the errors would remain stable.

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