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Extraction of the Evoked Potentials Based on the Fourth Order Correlations and an Improved Threshold Function

机译:基于四阶相关和改进阈值函数的诱发电位的提取

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According to the characteristics of restraining the additive Gaussian-noise and boosting up the faint signal of the higher-order correlations, this paper designed an adaptive filter which is based on a selected fourth order correlation slice (FOCS)of the input signal. When filtered by this filter, the noise of the noisy evoked potentials (Eps) signal can be eliminated distinctly.Contraposed the disadvantages of traditional threshold function.This paper also proposed an improved threshold function. This function not only has the smoothing property of the soft threshold function, but also has the keeping characteristics property of the hard threshold function. We extracted Eps by combining the adaptive filter with the improved threshold function, and the simulations results proved the method was quick and accurate.
机译:根据抑制加性高斯噪声并增强微弱信号的高阶相关性的特点,本文设计了一种自适应滤波器,该滤波器基于输入信号的选定四阶相关性切片(FOCS)。通过该滤波器进行滤波,可以明显地消除噪声诱发电位信号的噪声。克服了传统阈值函数的弊端。本文还提出了一种改进的阈值函数。该函数不仅具有软阈值函数的平滑特性,而且具有硬阈值函数的保持特性。通过将自适应滤波器与改进的阈值函数相结合来提取Eps,仿真结果证明了该方法的快速性和准确性。

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