小波
卷积(计算机科学)
反褶积
叠加原理
脉冲响应
计算机科学
脉冲(物理)
同态加密
班级(哲学)
系列(地层学)
算法
数学
数学分析
地质学
人工智能
物理
人工神经网络
量子力学
操作系统
加密
古生物学
出处
期刊:Geophysics
[Society of Exploration Geophysicists]
日期:1971-08-01
卷期号:36 (4): 650-660
被引量:242
摘要
Homomorphic systems (Oppenheim, 1965a and 1965b) are a class of nonlinear systems which satisfy a generalized principle of superposition. Such systems are particularly useful in separating signals which have been combined through convolution. This paper deals with the application of homomorphic deconvolution to the recovery of the seismic wavelet from a time series formed by the convolution of this wavelet with an impulse train. The unique point about this approach is that it does not require the usual assumptions of a minimum‐phase wavelet and a random distribution of impulses.
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