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Performance of split-window multipass-mean noise spectral estimators

机译:分割窗口多通道平均噪声频谱估计器的性能

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摘要

Spectrogram background normalization for narrowband passive acoustic detection systems has a long history, and the split-window three-pass mean noise spectral estimator (S3PM NSE) is currently a standard in this regard. As yet, however, there is no analytical design methodology for choosing the window parameters and shearing thresholds for the S3PM NSE. That deficiency is remedied here by deriving an approximation for the bias of the S3PM NSE when its input is colored Gaussian noise.
机译:窄带无源声检测系统的频谱图背景归一化历史悠久,在这方面,分割窗口三遍平均噪声频谱估计器(S3PM NSE)目前是标准。但是,到目前为止,还没有用于选择S3PM NSE的窗口参数和剪切阈值的分析设计方法。在此,可以通过推导S3PM NSE输入为彩色高斯噪声时的偏差的近似值来弥补这一不足。

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