ICA with Homomorphic Deconvolution Based Seismic Blind Deconvolution
The independent components analysis (ICA), is introduced to improve the traditional homomorphic seismic deconvolution here. Neglecting noise, to facilitate this, the seismic record is changed from time domain to complex cepstrum domain in order to transform the common seismic model to the basic ICA model. By applying FastICA algorithm, reflectivity series and the seismic wavelet can be produced in complex cepstrum domain and changed back to the time domain subsequently. The synthetic and real seismic data numerical examples all show the algorithm valid. The advantage of this new method is to inverse blindly the wavelet and the reflectivity at the same time effectively with no assumption of Guassality and whiten noise to reflectivity, and no assumption of minimum phase to seismic wavelet. The algorithm refered here is an updated version of homomorphic deconvolution for seismic signals blind deconvolution and worth doing more researches.
homomorphic deconvolution independent component analysis (ICA) complex cepstrum
Gao Wei Liu Huaishan Zhang Jin
Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao 266100
国际会议
重庆
英文
903-906
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）