1) weight of system noise covariance
系统噪声加权
2) Noise weighting
噪声加权
3) psophometrically weighted
噪声计加权
4) system noise
系统噪声
1.
A new de-noising algorithm was presented for removing the seamless pipe noise(SPN) and the system noise contained in the MFL data.
基于漏磁检测是油气管道在线检测中应用最广泛的无损检测技术,提出了一种去除漏磁数据中无缝管道噪声(SPN)和系统噪声的新算法。
2.
The paper first introduces the basis theory of up passage of two-way Cable Modem HFC network and the transmission process of the signal,followed by some principles and methods dealing with the link circuit spoilage and system noises.
由于使用器材和测试仪器的不同,系统调试方法各异,但其基本原则是相通的,首先介绍Cable Modem双向HFC网络上行通道的基本构成与信号的传输流程,其后论述系统链路损耗与系统噪声调试的基本原则和方法。
5) weighted noise estimation
加权噪声估计
1.
The algorithm employs weighted noise estimation: the noisy speech is weighted by a weighting factor,which is calcul-ated in accordance with the estimated SNR through a nonlinear function,and the estimated noise is obtained as an average of the weighted noisy speech.
该算法对背景噪声的估计利用加权噪声估计方法:采用一个非线性函数根据带噪语音信噪比(SNR,signal-to-noise ratio)的变化计算得到相应的加权因子并作用于带噪语音信号,对加权的带噪语音求平均得到估计的背景噪声。
6) noise-weighting characteristics
噪声加权特性
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