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Wiener Filtering Using Neighboring Coefficients

机译:使用相邻系数的维纳滤波

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摘要

In order to provide a more clean and better denoising result, a novel denoising method called wiener filtering using neighboring coefficients (WNC) is proposed in this paper. It combined both the advantages of neighboring coefficients (NC) and wiener filtering. Experimental results show that WNC can effectively suppress the noise components of different kinds of signals. It is better than the traditional Wiener filtering, NC scheme and hard thresholding. Comparing other 3 methods, the average SNR improvement of the signals denoised by the WNC scheme was increased by 0.199dB, 1.438dB and 2.345 dB, respectively.
机译:为了提供更清晰且更好的去噪结果,提出了一种新的使用相邻系数(WNC)称为Wiener滤波的新型去噪方法。 它结合了相邻系数(NC)和维纳滤波的优点。 实验结果表明,WNC可以有效地抑制不同种类信号的噪声分量。 它优于传统的维纳滤波,NC方案和硬阈值。 与其他3种方法相比,通过WNC方案去噪的信号的平均SNR改善分别增加0.199dB,1.438dB和2.345dB。

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