【摘要】 运用小波分析将不同频率成分组成的数据序列按尺度分解为低频和高频成分,并对低频和高频系数进行分析,然后根据小波系数的重构原理还原数据序列。本文以地下流体资料进行研究,结果表明:①小波方法可以较好地抑制流体数据中的随机噪声,并可有效地将数据的趋势变化和局部变化分开;②通过分析各频段小波系数,将降雨干扰的小波系数去掉后重构,从而达到消除降雨干扰的目的。更多还原

【Abstract】 The multi-scale wavelet method has been used to decompose the fluid observation data sequence of different frequencies into the low and high frequencies.Based on the analysis of the low and high frequency coefficients,the fluid data sequence will be rebuilt based on the wavelet coefficient.The results are:① the random noise can be controlled and the fluid data can be divided into tendency change and local change effectively by using of wavelet analysis.② by studying wavelet coefficients of different frequency,the wavelet coefficients disturbed by rain can be removed and the related data sequences can be reconstructed in order to eliminate the disturbance of rain.更多还原