Malaise 发表于 2025-3-25 03:45:36
Mean-Squared Error Criterion,or (MSE) is, by far, the most used one because of its simplicity in terms of deriving useful filters. This chapter presents relevant error signals from which meaningful MSE criteria are built in the different domains.PACK 发表于 2025-3-25 08:20:37
Optimal Filters in the Time Domain,s chapter, we restrict our attention to filters in the time domain. Particularly, much emphasis is on the Wiener filter as it is directly derived from the MSE criterion and most well-known algorithms are somehow related to it.inferno 发表于 2025-3-25 11:48:44
Spectral Enhancement Methods,ch and noise signals, and derive estimators for the speech signal using various distortion measures. We also describe an example of a speech enhancement algorithm and demonstrate its performance on speech signals degraded by various additive noise types.挡泥板 发表于 2025-3-25 16:13:43
Problem Formulation,In this chapter, we explain the traditional formulation of the (additive) noise problem and its reduction by linear filtering in the time, frequency, and Karhunen-Loève expansion domains.Lumbar-Stenosis 发表于 2025-3-25 20:30:57
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Israel Cohen,Yiteng Huang,Jacob BenestyOverview of the state of the art of noise reduction algorithms.Concise Treatmentchondromalacia 发表于 2025-3-26 11:58:38
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Springer Topics in Signal Processinghttp://image.papertrans.cn/n/image/666776.jpg