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在地震勘探中,随机噪音是一种频带较宽,严重影响有效波信噪比的干扰波。一般的去噪方法有:f-x、w-x、f-x奇异值分解等,但这些都只考虑横向上随机噪音的不相关性,而在一维方向上研究甚少。小波变换是一种时频分析的方法,根据它的分频和局部分析能力,结合一维方向上去噪的光滑滤波,就能有效地消除随机干扰,且保证了有效波的中、高频成份,经过小波包重构,可恢复有效波信号。该方法在去噪方面是十分有效的。
In seismic exploration, random noise is a kind of interference wave with wider frequency band and seriously affecting the signal-to-noise ratio of the effective wave. The general denoising methods are: f-x, w-x, f-x singular value decomposition, but these only consider the irrelevant of random noise in the horizontal direction, but little research on the one-dimensional direction. Wavelet transform is a method of time-frequency analysis. According to its frequency division and local analysis ability, combined with the smoothing denoising in one-dimensional direction, the random disturbance can be effectively eliminated, and the medium and high frequency components , After wavelet packet reconstruction, can recover the effective wave signal. This method is very effective in denoising.