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Frequency filtering method using a Wiener filter applied to noise reduction of audio signals

机译:使用维纳滤波器的频率滤波方法应用于音频信号的降噪

摘要

The noisy signal is converted into the frequency domain by Fourier analysis (1). A model is created of the noise (2) and estimates made of the spectral density, energy level and the conversion coefficient for statistical dispersion. In parallel to this similar estimates are made of the noisy signal (3). The two results are then recombined in a Wiener filter (4) which compensates for energy levels and applies noise overestimation. The signal is then reconstructed (5).
机译:通过傅里叶分析(1)将噪声信号转换到频域。创建噪声模型(2),并根据频谱密度,能级和转换系数对统计色散进行估算。与此并行地,对噪声信号(3)进行类似的估计。然后将这两个结果在维纳滤波器(4)中重新组合,该滤波器会补偿能量级别并应用噪声高估。然后重建信号(5)。

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