Denoising of Pulsar Signal Using Wavelet Transform

I. Garvanov, Ruska Iyinbor, Magdalena Garvanova, Nikolay Geshev
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引用次数: 7

Abstract

This paper investigates the algorithm of denoising of pulsar signals using wavelet transform. The signal processing includes three major stages: wavelet transform, threshold processing, and inverse wavelet transform. The proposed algorithm is tested using the real signal from pulsar B0329+54.
基于小波变换的脉冲星信号去噪
研究了利用小波变换对脉冲星信号进行去噪的算法。信号处理包括三个主要阶段:小波变换、阈值处理和小波逆变换。利用脉冲星B0329+54的真实信号对该算法进行了验证。
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