Blind-source separation of seismic signals based on information maximizationInfoMax adaptive subtraction | Citedby Results | Geophysics | GeoScienceWorld

Skip to Main Content

Skip Nav Destination

Blind-source separation of seismic signals based on information maximization

Geophysics (2013) 78 (4): V119–V130.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

Global convergence towards statistical independence for noisy mixtures of stationary and non-stationary signals

El Mouataz Billah Smatti
Djemai Arar

International Journal of Information Technology (2023) 15 (2): 833.

Separation of seismic multiple reflection-refraction based on morphological component analysis with high-resolution linear Radon transform

Dawei Liu
Haoqi Zhang
Xiaokai Wang
Wenchao Chen
Zhensheng Shi
Zhonghua Zhao

GEOPHYSICS (2022) 87 (4): V367.

Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method

Bowu Jiang
Wenkai Lu

IEEE Transactions on Image Processing (2021) 30: 806.

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Jiali Zi
Danju Lv
Jiang Liu
Xin Huang
Wang Yao
Mingyuan Gao
Rui Xi
Yan Zhang

Sensors (2021) 22 (1): 118.

Adaptive multiple subtraction using a hybrid ℓ2-ℓ1 pattern-learning approach

Bowu Jiang
Yong Deng
Wenkai Lu

GEOPHYSICS (2020) 85 (6): V443.

Blind source separation of temporally independent microseisms

M Meschede
E Stutzmann
M Schimmel

Geophysical Journal International (2019) 216 (2): 1260.

An Automatic Channel Selection Approach for ICA-Based Motor Imagery Brain Computer Interface

Jing Ruan
Xiaopei Wu
Bangyan Zhou
Xiaojing Guo
Zhao Lv

Journal of Medical Systems (2018) 42 (12)

Adaptive multiple subtraction: Unification and comparison of matching filters based on the ℓq-norm and statistical independence

Yves-Marie Batany
Leonardo Tomazeli Duarte
Daniela Donno
João Marcos Travassos Romano
Hervé Chauris

GEOPHYSICS (2016) 81 (1): V43.

Glowworm Swarm Optimization and Its Application to Blind Signal Separation

Zhucheng Li
Xianglin Huang

Mathematical Problems in Engineering (2016) 2016: 1.

An accelerated non-Gaussianity based multichannel predictive deconvolution method with the limited supporting region of filters

Zhong-xiao Li
Zhen-chun Li

Journal of Applied Geophysics (2016) 132: 87.

Multimodel adaptive subtraction with regularized parameter selection via generalized information criterion

Kuang-Hung Liu
Clément Kostov

GEOPHYSICS (2015) 80 (3): V33.