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Rank order processors for robust bandpass filtering.

机译:排序处理器,用于强大的带通滤波。

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摘要

It is difficult for linear filters to enhance or preserve sharp edges and suppress the noise at the same time, because their application is based on spectral separation. Linear filters result in blurring edges. Moreover, linear filtering techniques designed under additive Gaussian noise assumption may suffer significant degradation when the actual noise statistics deviate from the assumed model, e.g., under impulsive noise environments. It is well-known that for such situations non-linear filtering techniques such as median filtering may be more effective.A rank order processor (ROP) is a non-linear signal processor with each output value causally related to the input values via a lattice polynomial. Median filters and rank-order filters are included in this class of processors.In the dissertation, we investigate an elaborated version of ROPs in terms of the following: (i) a design procedure, (ii) algorithms, (iii) root signals, and (iv) several interesting features including bandpass capability. With monotone commutativity, the theory of automata and regular sets facilitates the above analyses in that elaborated ROP operations in terms of real values can be reduced to ternary operations. This, along with the concept of root signals, leads to a novel design procedure in which designing a signal processor starts with a description in terms of regular sets.We observe that the elaborated ROPs proposed here have error correction capability and a bandpass effect. Using computer simulations, those features are examined for signals such as AM/FM signals, square waves, and speech-like signals. Simulation results confirm the robustness of the elaborated ROPs: (i) not optimal but reasonable suppression capability against Gaussian noise, (ii) excellent outlier rejection capability, and (iii) sharp edge passing capability. Since non-linear filtering operations generally cannot be characterized in frequency domain, elaborated ROPs having bandpass capability raise possibilities of new application areas for classes of signal processors requiring a robust bandpass feature.
机译:线性滤波器很难同时增强或保留锐利边缘并抑制噪声,因为它们的应用基于光谱分离。线性滤波器会导致边缘模糊。此外,当实际噪声统计量偏离假设模型时,例如在脉冲噪声环境下,在加性高斯噪声假设下设计的线性滤波技术可能遭受严重的劣化。众所周知,在这种情况下,非线性滤波技术(例如中值滤波)可能更有效。秩序处理器(ROP)是非线性信号处理器,其每个输出值都通过晶格与输入值有因果关系多项式此类处理器中包括中值滤波器和秩序滤波器。在本文中,我们从以下方面研究了ROP的详细版本:(i)设计程序,(ii)算法,(iii)根信号, (iv)几个有趣的功能,包括带通能力。利用单调可交换性,自动机和规则集的理论有助于上述分析,因为可以将按实值表示的详细ROP运算简化为三元运算。这与根信号的概念一起,导致了一种新颖的设计过程,在该过程中,信号处理器的设计从对常规集的描述开始。我们注意到,这里提出的精心设计的ROP具有纠错能力和带通效应。使用计算机仿真,可以检查那些功能部件的信号,例如AM / FM信号,方波和类似语音的信号。仿真结果证实了精心设计的ROP的鲁棒性:(i)对高斯噪声的抑制能力不是最佳的而是合理的;(ii)出色的异常值排除能力;以及(iii)尖锐的边缘通过能力。由于非线性滤波操作通常不能在频域中进行表征,因此具有带通能力的精心设计的ROP为要求鲁棒带通功能的信号处理器类别增加了新的应用领域。

著录项

  • 作者

    Kondo, Yoshihiro.;

  • 作者单位

    Northwestern University.;

  • 授予单位 Northwestern University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 200 p.
  • 总页数 200
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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