一种小波变换信号处理方法

Abstract

Abstract:

Confined to the measuring and transmitting conditions in the field, the mud signal model is usually set which contains all kinds of noises. In order to manipulate the signals, an optimal wavelet is designed according to the characteristics of the signals based on the minimum entropy. By using the wavelet, the modular maximum of signals, noises and the baseline are calculated for different scales. The advanced processing algorithms for the modular maximum are conducive to noise-reduction, baseline correction, and singularity detection. The algorithms have been applied with satisfactory results in the Measure While Drilling system in some oil field.

Key words: mud signal, wavelet transforms, modular maximum, noise reduction, baseline correction, singularity detecting

CLC Number:

TP391

LI Chuan-wei;LI An-zong. Algorithms and application of the wavelet-based signal processing[J].J4, 2009, 36(4): 751-755.

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Algorithms and application of the wavelet-based signal processing

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