摘要
研究了小波变换的定义及小波变换的性质，构造了适合于我们要求的子波序列。用小波变换作一维滤波克服了传统的窗口傅里叶方法易出现的吉布斯效应。用小波变换的多分辨率成像技术适当地选择小波函数和伸缩尺度参数，让薄层的局部化特征明显，提高地震剖面对薄层的分辨率，让薄层的局部特征明显地表现出来，精确地进行分析判定。
The definition and characters of wavelet transform are researched,and wavelet sequence isconstructed according to the requirements,Application of wavelet transform to ID filtering overcomesthe Gibus effects easy to occur in the conventional Fourier method. The technology of high resolutionimaging of the wavelet transform can be applied to choose properly the wavelet function and parameterof extension scale,make obvious localization features of the thin layer,and improve the resolution ofseismic section of thin laver so that the localization features of the thin layer can be shown clearly tomake the accurate analysis and determination.
出处
《中国煤田地质》
1996年第A00期69-75,共7页
Coal Geology of China
关键词
小波变换
煤田
地震勘探
地震数据处理
wavelet transform ,extension scale , ID filtering,high resolution,thin layer,localization
