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Removal of Mixed Poisson and Impulse Noise in 1-D Signals by Non-Adaptive and Adaptive Nonlinear Filters

机译:用非自适应和自适应非线性滤波器消除一维信号中的混合泊松和脉冲噪声

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摘要

A case of filtering 1-D signals corrupted by the Poisson fluctuative and impulse noise is considered. Statistical characteristics of output signals are analyzed for several conventional nonlinear non-adaptive filters. It is shown that output bias can be present and it depends upon the filter type, scanning window size and information content of the processed signal. Residual noise variance is also derived and studied. A soft-switching locally adaptive filter that takes into account the observed statistics is proposed and tested.
机译:考虑一种对因泊松波动和脉冲噪声而损坏的一维信号进行滤波的情况。分析了几种常规非线性非自适应滤波器的输出信号统计特性。结果表明,可能存在输出偏置,并且取决于滤波器类型,扫描窗口大小和已处理信号的信息内容。还推导并研究了残留噪声方差。提出并测试了一种考虑了统计数据的软开关局部自适应滤波器。

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