کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4960334 1364894 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Blind separation of multicomponent seismic wavefield using SVD of reduced dimension spectral matrix
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Blind separation of multicomponent seismic wavefield using SVD of reduced dimension spectral matrix
چکیده انگلیسی

This paper presents a blind separation algorithm based on singular value decomposition (SVD) of reduced dimension spectral matrix. Furthermore, a mathematical matrix model of the multicomponent seismic wavefield is developed as a framework for implementing the proposed algorithm. The proposed blind separation algorithm organizes the frequency transformed multicomponent seismic wavefield into one long data vector. The blind separation of the desired seismic wavefield is accomplished by projecting the long data vector onto the eigenvectors of the dimensionally reduced spectral matrix according to the energy of the eigenvalues. The proposed algorithm is tested on both synthetic and real multicomponent seismic wavefields. Results show outstanding performance compared to the MC-WBSMF algorithm. Therefore, the computational complexity is reduced by a factor greater than 14,400 and there is an improvement in accuracy of 17.5%.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of King Saud University - Computer and Information Sciences - Volume 29, Issue 1, January 2017, Pages 39-53
نویسندگان
, , , , , , ,