小波及小波包降噪在高密度电法中的效果对比
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摘要
在高密度电法资料降噪处理中,传统的处理方法有坏点剔除、滑动平均和滤波等方法,但效果往往不够理想,不能为后期的处理提供可靠数据。小波变换及小波包变换对于降噪是非常有用的2种方法,在许多领域得到了很好的应用,相比于小波降噪,小波包降噪对高频信号做了更细的细分,能更好地分析信号,但在高密度电法数据处理中,小波包降噪效果不一定优于小波降噪。现对2种降噪方法通过模型试验与工程实例进行对比研究,分析2种方法在高密度电法数据处理中的效果。
In the high-density electrical data de-noising process, the traditional methods are that removing the dead pixels, moving average and filtering and other methods, but the effect is often not ideal, which can′ t provide reliable data for later processing. Wavelet transform and wavelet packet transform is very useful for noise reduction two methods, which have been very good application in many areas.Compared with the wavelet denoising,the wavelet packet denoising makes the subdivision of the high frequency signal more fine, which can better analyze the signal,but in the high-density electric law data processing,wavelet packet noise reduction effect is not necessarily better than wavelet denoising.Two kinds of noise reduction methods are compared by the model test and the engineering examples to analyze the effect of the two methods in the high density electrical data processing.
In the high-density electrical data de-noising process, the traditional methods are that removing the dead pixels, moving average and filtering and other methods, but the effect is often not ideal, which can′ t provide reliable data for later processing. Wavelet transform and wavelet packet transform is very useful for noise reduction two methods, which have been very good application in many areas.Compared with the wavelet denoising,the wavelet packet denoising makes the subdivision of the high frequency signal more fine, which can better analyze the signal,but in the high-density electric law data processing,wavelet packet noise reduction effect is not necessarily better than wavelet denoising.Two kinds of noise reduction methods are compared by the model test and the engineering examples to analyze the effect of the two methods in the high density electrical data processing.
引文
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