This paper introduced how to use the so - called " adaptive self noise canceller " in the digital signal processing to deal with telluric data with this kind of interference 對實(shí)際觀測數(shù)據(jù)的處理結(jié)果表明,采用此方法可以很好的消除秒采樣地電場觀測數(shù)據(jù)中地電阻率供電產(chǎn)生的干擾。
This paper proposes a new adaptive noise canceller ( nanc ) with low signal distortion for speech enhancement after presenting an overview , in a unified perspective , for a number of the speech enhancement algorithms 論文首先介紹了各種語音增強(qiáng)算法。然后,重點(diǎn)提出了一種低信號失真的新的自適應(yīng)噪聲抵消( nanc )語音增強(qiáng)算法。
Through analyzing the disadvantages of tradition wiener filter and adaptive noise canceller , we proposed two new methods for enhancing speech , which are improved iteration wiener filter method and improved ctranc algorithm 其中通過對傳統(tǒng)wiener濾波算法和傳統(tǒng)anc算法的缺點(diǎn)進(jìn)行分析,提出了改進(jìn)型重復(fù)wiener濾波算法和改進(jìn)型ctranc算法。
Because the adaptive algorithm of conventional adaptive noise canceller is the least mean squares ( lms ) , and the convergence rate of lms is heavily dependent on the eigenvalue distribution of the autocorrelation matrix of the input signal , thus lms converges at unacceptably low rates when the input signal is colored noise or speech 由于傳統(tǒng)自適應(yīng)噪聲抵消系統(tǒng)( anc )自適應(yīng)算法主要采用lms算法,而lms算法收斂速度依賴于輸入信號自相關(guān)矩陣特征值的分散程度。因此,當(dāng)輸入信號是語音或有色噪聲時, lms的收斂速度很慢。