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Split-spectrum processing: analysis of polarity threshold algorithm for improvement of signal-to-noise ratio and detectability in ultrasonic signals

机译:裂谱处理:分析极性阈值算法以提高超声信噪比和可检测性

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摘要

A polarity thresholding algorithm that has recently been developed for split-spectrum processing for ultrasonic coherent noise reduction is theoretically analyzed to evaluate its performance. The probability density function (PDF) of the output of the algorithm is derived and used to calculate the theoretical signal-to-noise ratio (SNR) enhancement and the receiver operating characteristics. The performance limits of the algorithm are also established. Some experimental results of SNR enhancement obtained with the polarity thresholding algorithm are presented.
机译:理论上分析了最近开发用于分裂频谱处理以降低超声相干噪声的极性阈值算法,以评估其性能。推导算法输出的概率密度函数(PDF),并将其用于计算理论信噪比(SNR)增强和接收机工作特性。还建立了算法的性能极限。给出了使用极性阈值算法获得的SNR增强的一些实验结果。

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