Joint application of a statistical optimization process and Empirical Mode Decomposition to Magnetic Resonance Sounding Noise Cancelation

Statistical Optimization ◽

Optimization Process ◽

Joint Application ◽

Mode Decomposition ◽

Magnetic Resonance Sounding ◽

Noise Cancelation

Random Noise Suppression of Magnetic Resonance Sounding Oscillating Signal by Combining Empirical Mode Decomposition and Time-Frequency Peak Filtering

IEEE Access ◽

10.1109/access.2019.2923689 ◽

2019 ◽

Vol 7 ◽

pp. 79917-79926 ◽

Author(s):

Tingting Lin ◽

Yang Zhang ◽

Mike Muller-Petke

Keyword(s):

Magnetic Resonance ◽

Noise Suppression ◽

Random Noise ◽

Time Frequency ◽

Mode Decomposition ◽

Frequency Peak ◽

Magnetic Resonance Sounding

Near Surface Geoscience 2014 - 20th European Meeting of Environmental and Engineering Geophysics ◽

Magnetic Resonance Sounding Signals Retrieval Based on Empirical Mode Decomposition and a Statistical Method

10.3997/2214-4609.20142010 ◽

2014 ◽

Author(s):

M. Fallah-safari ◽

R. Ghanati ◽

M.K. Hafizi

Keyword(s):

Magnetic Resonance ◽

Statistical Method ◽

Mode Decomposition ◽

Magnetic Resonance Sounding

Classification of magnetic resonance brain images using bi-dimensional empirical mode decomposition and autoregressive model

Biomedical Engineering Letters ◽

10.1007/s13534-015-0208-9 ◽

2015 ◽

Vol 5 (4) ◽

pp. 311-320 ◽

Cited By ~ 10

Author(s):

Omkishor Sahu ◽

Vijay Anand ◽

Vivek Kanhangad ◽

Ram Bilas Pachori

Keyword(s):

Magnetic Resonance ◽

Autoregressive Model ◽

Brain Images ◽

Magnetic resonance and computed tomography image fusion using bidimensional empirical mode decomposition

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ◽

10.1109/globalsip.2015.7418228 ◽

2015 ◽

Cited By ~ 2

Author(s):

Tariq A. Alshawi ◽

Fathi E. Abd El-Samie ◽

Saleh A. Alshebeili

Keyword(s):

Computed Tomography ◽

Magnetic Resonance ◽

Image Fusion ◽

Mode Decomposition ◽

Tomography Image ◽

Bidimensional Empirical Mode Decomposition ◽

Computed Tomography Image

Distance regularized level set evolution in magnetic resonance image segmention based on bi-dimensional ensemble empirical mode decomposition

Acta Physica Sinica ◽

10.7498/aps.65.168701 ◽

2016 ◽

Vol 65 (16) ◽

pp. 168701

Author(s):

Fan Hong ◽

Wei Wen-Jin ◽

Zhu Yan-Chun

Keyword(s):

Magnetic Resonance ◽

Level Set ◽

Magnetic Resonance Image ◽

Ensemble Empirical Mode Decomposition ◽

Mode Decomposition ◽

Level Set Evolution

An empirical mode decomposition based noise cancelation method for potential field data along with a new stopping criterion

Arabian Journal of Geosciences ◽

10.1007/s12517-018-3778-x ◽

2018 ◽

Vol 11 (15) ◽

Author(s):

Jun Wang ◽

Xiaohong Meng ◽

Lianghui Guo ◽

Fang Li

Keyword(s):

Potential Field ◽

Field Data ◽

Stopping Criterion ◽

Potential Field Data ◽

Mode Decomposition ◽

Noise Cancelation

An application of the empirical mode decomposition to brain magnetic resonance images classification

2013 IEEE 4th Latin American Symposium on Circuits and Systems (LASCAS) ◽

10.1109/lascas.2013.6518997 ◽

2013 ◽

Cited By ~ 4

Author(s):

S. Lahmiri ◽

M. Boukadoum

Keyword(s):

Magnetic Resonance ◽

Magnetic Resonance Images ◽

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

Speech Analysis Method Based on Source-Filter Model Using Multivariate Empirical Mode Decomposition

10.1587/transfun.e99.a.1762 ◽

2016 ◽

Vol E99.A (10) ◽

pp. 1762-1773 ◽

Author(s):

Surasak BOONKLA ◽

Masashi UNOKI ◽

Stanislav S. MAKHANOV ◽

Chai WUTIWIWATCHAI

Keyword(s):

Speech Analysis ◽

Analysis Method ◽

Filter Model ◽

Multivariate Empirical Mode Decomposition ◽

Identification of drilling stick-slip vibration conditions based on Empirical Mode Decomposition threshold denoising and Support Vector Machine

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9189647 ◽

2020 ◽

Author(s):

Ke Zhang ◽

Weihua Cao ◽

Chao Gan ◽

Wenkai Hu

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Stick Slip ◽

ATTENTION COMPARISON OF DIFFERENT OFFICE LIGHTING SCENARIOS BY BRAINWAVE MEASUREMENTS AND EMPIRICAL MODE DECOMPOSITION

PROCEEDINGS OF CIE 2018 TOPICAL CONFERENCE ON SMART LIGHTING ◽

10.25039/x45.2018.po02 ◽

2018 ◽

Author(s):

I-Chieh Chen ◽

Chin-Hsien Wu ◽

Yi-Chun Chen

Keyword(s):

Mode Decomposition ◽

Office Lighting