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脉冲星辐射信号具有极低的信噪比,传统降噪方法难以在抑制噪声的同时保留其细节信息.为此,提出了一种小波域脉冲星信号消噪方法.在小波域,利用一种可导的阈值函数和一种自适应阈值选取方法,对含噪脉冲星信号进行小波域阈值去噪处理,并利用信噪比(SNR)、均方根误差(RMSE)、峰值相对误差(REPV)以及峰位误差(EPP)四项指标来对去噪效果进行评价.实验结果表明,与软阈值与硬阈值法相比,该方法能在有效去除含噪脉冲星信号中的噪声、显著提高其信噪比的同时,更有效地保留原始信号中的有用信息,同时可以获得更小的均方根误差、脉冲峰值相对误差与峰位误差.
The pulsar radiation signal has a very low signal-to-noise ratio, and the traditional noise reduction method is difficult to suppress the noise while retaining its detail information.Therefore, a wavelet domain de-noising method of pulsar signal is proposed.In the wavelet domain, This paper presents a threshold-based function and an adaptive thresholding method for wavelet denoising of noisy pulsar signals. The signal-to-noise ratio (SNR), root mean square error (RMSE), peak relative error ) And peak position error (EPP) were used to evaluate the de-noising effect.The experimental results show that compared with the soft threshold and the hard threshold method, this method can effectively remove the noises in the noisy pulsar signal and significantly increase its noise Signal to noise ratio at the same time, more effectively retain the original signal useful information, while smaller RMS errors can be obtained, the pulse peak relative error and peak position error.