时域和频域的非线性滤波器组合

I. Djurović, L. Stanković, V. Lukin
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引用次数: 5

摘要

经典的非线性滤波器(中值滤波器,无数滤波器,l滤波器)通常用于滤波嵌入在脉冲和混合高斯和脉冲噪声环境中的低通数据。然而,最近已经提出了一些技术,可以用于滤波嵌入在重尾噪声中的高通信号。这些技术包括:Arce等人提出的允许负权重的无数和中值滤波器,以及Djurovi和Stankovi在频域设计的鲁棒滤波器。如果我们假设信号同时具有低通和高通区域,那么针对低通数据和高通数据设计的技术之间的某种组合将是有用的。在本文中,我们探讨了将这两种非线性滤波器组合在一起的可能性,以便对含有低频和高频内容的信号进行连续去噪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combination of non-linear filters in time and frequency domain
Classical non-linear filters (median, myriad, L-filters) are commonly used forfiltering of lowpass data embedded in impulse and mixed Gaussian and impulse noise environments. However, recently some techniques have been proposed that can be useful for filtering highpass signals embedded in a heavy tailed noise. These techniques include: myriad and median filters admitting negative weights proposed by Arce et al, and robustfilters designed in frequency domain proposed by Djurovi´ c and Stankovi´ c. If weassume that a signal has both lowpass and highpass regions, some combination between techniques designed for lowpass data and techniques designed for highpass data would be useful. In this paper we investigate possibility to combine these two kinds of non-linear filters in order to perform successive denoising of signals with both low and high frequency content.
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