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根据受噪声污染信号的子波变换系数中对信号有贡献的仅占其很小一部分的这个事实,提出了一种基于系数门限值去噪的方法。对不同信号的仿真结果表明该方法去噪效果明显,运算量小,易于实现,适合近炸引信信号处理中对噪声的去除。这对于改善近炸引信的抗噪性能是十分有意义的。
Based on the fact that only a small part of the wavelet transform coefficients of the noise pollution signal contribute to the signal, a method based on coefficient threshold de-noising is proposed. The simulation results of different signals show that this method has obvious effect of denoising, low computational complexity and easy to implement, which is fit for noise removal in near-fuze signal processing. This is very significant for improving the anti-noise performance of near-fuze.