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在传统软、硬阈值函数去噪的基础上,提出了一种新型阈值函数和自适应阈值的去噪方法。阐述了改进型阈值函数的特点。改进型阈值函数与传统软、硬阈值函数相比,克服了软阈值信号失真和硬阈值信号不连续、振荡等缺点。为了解决在每一级尺度上都采用同一阈值的不足问题,将自适应阈值算法引入去噪。实验表明:此去噪法提高了重构信号的信噪比,有效去除了噪声,且保留了原始信号的细节特征,与传统去噪法相比是一种较好的恢复微弱信号的方法,在通信去噪中具有较高的实用价值。
Based on the traditional soft and hard threshold function denoising, a new threshold function and an adaptive threshold denoising method are proposed. The characteristics of the improved threshold function are expounded. Compared with the traditional soft and hard threshold functions, the improved threshold function overcomes the shortcomings of soft threshold signal distortion and hard threshold signal discontinuity and oscillation. In order to solve the problem of using the same threshold at each level, the adaptive threshold algorithm is introduced to denoise. Experiments show that this denoising method improves the signal-to-noise ratio of the reconstructed signal, effectively removes the noise and preserves the details of the original signal. Compared with the traditional denoising method, this denoising method is a better method of restoring weak signals. Communication denoising has high practical value.