Source localization using recursively applied and projected (RAP) MUSIC
Abstract
A new method for source localization is described that is based on a modification of the well-known MUSIC algorithm. In classical MUSIC, the array manifold vector is projected onto an estimate of the signal subspace. Errors in the estimate of the signal subspace can make localization of multiple sources difficult. Recursively applied and projected (RAP) MUSIC uses each successively located source to form an intermediate array gain matrix and projects both the array manifold and the signal subspace estimate into its orthogonal complement. The MUSIC projection to find the next source is then performed in this reduced subspace. Special assumptions about the array manifold structure, such as Vandermonde or shift invariance, are not required. Using the metric of principal angles, we describe a general form of the RAP-MUSIC algorithm for the case of diversely polarized sources. Through a uniform linear array simulation with two highly correlated sources, we demonstrate the improved Monte Carlo error performance of RAP-MUSIC relative to MUSIC and two other sequential subspace methods: S and IES-MUSIC. We then demonstrate the more general utility of this algorithm for multidimensional array manifolds in a magnetoencephalography (MEG) source localization simulation.
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Multiple emitter location and signal parameter estimation
Schmidt, R. (1986) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.1986.1143830 · Cited by 14,718 · see citing works
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.32276 · Cited by 7,326 · see citing works
Two decades of array signal processing research: the parametric approach
Krim, H., & Viberg, M. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.526899 · Cited by 4,774 · see citing works
Hämäläinen, M., Hari, R., Ilmoniemi, R. J., Knuutila, J., & Lounasmaa, O. V. (1993) · Reviews of Modern Physics · doi:10.1103/revmodphys.65.413 · Cited by 4,684 · see citing works
A signal subspace approach to multiple emitter location and spectral estimation
Schmidt, R. O. (1981) · Medical Entomology and Zoology · Cited by 1,154 · see citing works
Multiple dipole modeling and localization from spatio-temporal MEG data
Mosher, J. C., Lewis, P. S., & Leahy, R. M. (1992) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.141192 · Cited by 1,048 · see citing works
Self-citationRecursive MUSIC: A framework for EEG and MEG source localization
Mosher, J. C., & Leahy, R. M. (1998) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.725331 · Cited by 362 · see citing works
Self-citationDirection finding with an array of antennas having diverse polarizations
Ferrara, E., & Parks, T. W. (1983) · IRE Transactions on Antennas and Propagation · doi:10.1109/tap.1983.1143038 · Cited by 241 · see citing works
Spatial-spectrum estimation in a location sector
Buckley, K. M., & Xu, X. L. (1990) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/29.103086 · Cited by 116 · see citing works
On the performance of signal-subspace processing-- Part I: Narrow-band systems
Wang, H., & Kaveh, M. (1986) · IEEE Transactions on Acoustics Speech and Signal Processing · doi:10.1109/tassp.1986.1164957 · Cited by 115 · see citing works
Stoica, P., Händel, P., & Nehorai, A. (1995) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/7.464347 · Cited by 44 · see citing works
Oh, S. K., & Un, C. K. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.1993.193178 · Cited by 37 · see citing works
Source localization using recursively applied and projected (RAP) MUSIC
Mosher, J. C., & Leahy, R. M. (2002) · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · doi:10.1109/acssc.1997.679114 · Cited by 27 · see citing works
Self-citationA variety of applications of singular value decomposition in identification and signal processing
Vandewalle, J. P. L., & Moor, B. D. (1988) · Cited by 22 · see citing works
Localization from near-source quasi-static electromagnetic fields
Los Alamos National Lab. (LANL), L. A., Mosher, J. C., USDOE, & (NASA), N. A. A. S. A. (1993) · doi:10.2172/10181075 · Cited by 3 · see citing works
Self-citationMUSIC for localization of thunderstorm cells
Mosher, J. C., Rynne, T. M., & Lewis, P. S. (2002) · 2018 52nd Asilomar Conference on Signals, Systems, and Computers · doi:10.1109/acssc.1993.342422 · Cited by 3 · see citing works
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Baillet, S., Mosher, J. C., & Leahy, R. M. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.962275 · Cited by 1,691 · see citing works
Self-citationReview on solving the inverse problem in EEG source analysis
Grech, R., Cassar, T., Muscat, J., Camilleri, K. P., Fabri, S. G., Zervakis, M., Xanthopoulos, P., Sakkalis, V., & Vanrumste, B. (2008) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-5-25 · Cited by 1,193 · see citing works
EEG source localization: Sensor density and head surface coverage
Song, J., Davey, C., Poulsen, C., Luu, P., Turovets, S. I., Anderson, E. W., Li, K., & Tucker, D. M. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.08.015 · Cited by 347 · see citing works
Rank Awareness in Joint Sparse Recovery
Davies, M. E., & Eldar, Y. C. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2011.2173722 · Cited by 340 · see citing works
Mapping human brain function with MEG and EEG: methods and validation
Darvas, F., Pantazis, D., Kucukaltun-Yildirim, E., & Leahy, R. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.014 · Cited by 308 · see citing works
Self-citationElectrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
He, B., Yang, L., Wilke, C., & Yuan, H. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2139210 · Cited by 300 · see citing works
Electrophysiological source imaging: A noninvasive window to brain dynamics
He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works
Huang, Y., Parra, L. C., & Haufe, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.12.019 · Cited by 252 · see citing works
Rossini, P. M., Iorio, R. D., Vecchio, F., Anfossi, M., Babiloni, C., Bozzali, M., Bruni, A. C., Cappa, S. F., Escudero, J., Fraga, F. J., et al. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.03.003 · Cited by 239 · see citing works
Evaluation of EEG localization methods using realistic simulations of interictal spikes
Grova, C., Jean Daunizeau, A., Lina, J.-M., Bénar, C., Benali, H., & Gotman, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.053 · Cited by 229 · see citing works
Ammari, H. M., Яковлева, Е., & Lesselier, D. (2005) · Multiscale Modeling and Simulation · doi:10.1137/040610854 · Cited by 198 · see citing works
Soltanaghai, E., Kalyanaraman, A., & Whitehouse, K. (2018) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/3210240.3210347 · Cited by 196 · see citing works
A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies
Puce, A., & Hämäläinen, M. (2017) · Brain Sciences · doi:10.3390/brainsci7060058 · Cited by 181 · see citing works
A survey of methods used for source localization using EEG signals
Jatoi, M. A., Kamel, N., Malik, A. S., Faye, I., & Begum, T. (2014) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2014.01.009 · Cited by 175 · see citing works
Multimodal Functional Neuroimaging: Integrating Functional MRI and EEG/MEG
He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171 · see citing works
EEG based brain source localization comparison of sLORETA and eLORETA
Jatoi, M. A., Kamel, N., Malik, A. S., & Faye, I. (2014) · Australasian Physical & Engineering Sciences in Medicine · doi:10.1007/s13246-014-0308-3 · Cited by 160 · see citing works
Baillet, S., Riera, J. J., Marin, G., Mangin, J., Aubert, J., & Garnero, L. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/1/306 · Cited by 156 · see citing works
EEG Source Localization and Imaging Using Multiple Signal Classification Approaches
Mosher, J. C., Baillet, S., & Leahy, R. M. (1999) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199905000-00004 · Cited by 137 · see citing works
Self-citation(2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64032-1.00006-0 · Cited by 134 · see citing works
Independent component analysis for EEG source localization
Евгеньевич, Ж. Л., Weinstein, D. M., & Johnson, C. R. (2000) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/51.844386 · Cited by 133 · see citing works
A Simulation Framework for Benchmarking EEG-Based Brain Connectivity Estimation Methodologies
Haufe, S., & Ewald, A. (2016) · Brain Topography · doi:10.1007/s10548-016-0498-y · Cited by 131 · see citing works
Combining sparsity and rotational invariance in EEG/MEG source reconstruction
Haufe, S., Nikulin, V. V., Ziehe, A., Müller, K.-R., & Nolte, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.246 · Cited by 130 · see citing works
Independent Components of Magnetoencephalography: Localization
Tang, A. C., Pearlmutter, B. A., Malaszenko, N. A., Phung, D. B., & Reeb, B. C. (2002) · Neural Computation · doi:10.1162/089976602760128036 · Cited by 112 · see citing works
Ossadtchi, A., Baillet, S., Mosher, J. C., Thyerlei, D., Sutherling, W., & Leahy, R. M. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.10.036 · Cited by 104 · see citing works
Self-citationRapidly recomputable EEG forward models for realistic head shapes
Ermer, J. J., Mosher, J. C., Baillet, S., & Leahy, R. M. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/4/324 · Cited by 103 · see citing works
Self-citationLarge-scale EEG/MEG source localization with spatial flexibility
Haufe, S., Tomioka, R., Dickhaus, T., Sannelli, C., Blankertz, B., Nolte, G., & Müller, K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.003 · Cited by 99 · see citing works
EEG extended source localization: Tensor-based vs. conventional methods
Becker, H., Albera, L., Comon, P., Haardt, M., Birot, G., Wendling, F., Gavaret, M., Bénar, C., & Merlet, I. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.043 · Cited by 96 · see citing works
Magnetoencephalography in Epilepsy
Knowlton, R. C., & Shih, J. J. (2004) · Epilepsia · doi:10.1111/j.0013-9580.2004.04012.x · Cited by 93 · see citing works
Hämäläinen, M., & Hari, R. (2002) · Elsevier eBooks · doi:10.1016/b978-012693019-1/50012-5 · Cited by 89 · see citing works
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
Dähne, S., Bieszmann, F., Samek, W., Haufe, S., Goltz, D., Gundlach, C., Villringer, A., Fazli, S., & Müller, K. (2015) · Proceedings of the IEEE · doi:10.1109/jproc.2015.2425807 · Cited by 88 · see citing works
The 3D topography of MEG source localization accuracy: effects of conductor model and noise
Tarkiainen, A., Liljeström, M., Seppä, M., & Salmelin, R. H. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(03)00195-0 · Cited by 81 · see citing works
Oblique Projections for Direction-of-Arrival Estimation With Prior Knowledge
Boyer, R., & Bouleux, G. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.909348 · Cited by 81 · see citing works
CSI Fingerprinting Localization With Low Human Efforts
Tong, X., Wan, Y., Li, Q., Tian, X., & Wang, X. (2020) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2020.3035210 · Cited by 80 · see citing works
Localization of realistic cortical activity in MEG using current multipoles
Jerbi, K., Baillet, S., Mosher, J. C., Nolte, G., Garnero, L., & Leahy, R. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.02.010 · Cited by 77 · see citing works
Self-citationMarzetti, L., Gratta, C. D., & Nolte, G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.250 · Cited by 76 · see citing works
UAV Detection and Localization Based on Multi-Dimensional Signal Features
Nie, W., Han, Z.-C., Yi, L., He, W., Xie, L., Yang, X., & Zhou, M. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3105229 · Cited by 74 · see citing works
An alternative subspace approach to EEG dipole source localization
Xu, X.-L., Xu, B., & He, B. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/49/2/010 · Cited by 73 · see citing works
Jean Daunizeau, A., Mattout, J., Clonda, D., Goulard, B., Benali, H., & Lina, J.-M. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.869791 · Cited by 73 · see citing works
Subspace Methods and Exploitation of Special Array Structures
Haardt, M., Pesavento, M., Roemer, F., & Korso, M. N. E. (2014) · Academic press library in signal processing · doi:10.1016/b978-0-12-411597-2.00015-1 · Cited by 67 · see citing works
Multi-Resolution FOCUSS: A Source Imaging Technique Applied to MEG Data
Moran, J. E., Bowyer, S. M., & Tepley, N. (2005) · Brain Topography · doi:10.1007/s10548-005-7896-x · Cited by 66 · see citing works
Paired MEG data set source localization using recursively applied and projected (RAP) MUSIC
Ermer, J. J., Mosher, J. C., Huang, M., & Leahy, R. M. (2000) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.867959 · Cited by 64 · see citing works
Self-citationAn Extension Of The Music Algorithm To Broadband Scenarios Using Polynomial Eigenvalue Decomposition
Alrmah, M. A., Lambotharan, S., & Weiss, S. (2011) · Strathprints: The University of Strathclyde institutional repository (University of Strathclyde) · doi:10.5281/zenodo.42731 · Cited by 62 · see citing works
Moiseev, A., Gaspar, J. M., Schneider, J. A., & Herdman, A. T. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.081 · Cited by 61 · see citing works
Christian, H., Pierau, S. S., Freitag, C. M., Roeper, J., Ziemann, U., & Bender, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050073 · Cited by 59 · see citing works
Multistatic Response Matrix of a 3-D Inclusion in Half Space and MUSIC Imaging
Яковлева, Е., Gdoura, S., Lesselier, D., & Perrusson, G. (2007) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2007.904103 · Cited by 58 · see citing works
Biomagnetism: The First Sixty Years
Roth, B. J. (2023) · Sensors · doi:10.3390/s23094218 · Cited by 57 · see citing works
Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach
Birot, G., Albera, L., Wendling, F., & Merlet, I. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.054 · Cited by 55 · see citing works
Dynamical MEG source modeling with multi‐target Bayesian filtering
Sorrentino, A., Parkkonen, L. T., Pascarella, A., Campi, C., & Piana, M. (2009) · Human Brain Mapping · doi:10.1002/hbm.20786 · Cited by 55 · see citing works
Investigations of dipole localization accuracy in MEG using the bootstrap
Darvas, F., Rautiainen, M., Pantazis, D., Baillet, S., Benali, H., Mosher, J. C., Garnero, L., & Leahy, R. M. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.045 · Cited by 55 · see citing works
Self-citationFunctional source separation from magnetoencephalographic signals
Barbati, G., Sigismondi, R., Zappasodi, F., Porcaro, C., Graziadio, S., Valente, G., Balsi, M., Rossini, P. M., & Tecchio, F. (2006) · Human Brain Mapping · doi:10.1002/hbm.20232 · Cited by 51 · see citing works
Tecchio, F., Porcaro, C., Barbati, G., & Zappasodi, F. (2007) · The Journal of Physiology · doi:10.1113/jphysiol.2007.129163 · Cited by 51 · see citing works
Hallez, H., Vos, M. D., Vanrumste, B., Hese, P. V., Assecondi, S., Laere, K. V., Dupont, P. J., Paesschen, W. V., Huffel, S. V., & Lemahieu, I. A. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.05.010 · Cited by 48 · see citing works
Noninvasive Imaging of the High Frequency Brain Activity in Focal Epilepsy Patients
Lu, Y., Worrell, G. A., Zhang, H. C., Yang, L., Brinkmann, B. H., Nelson, C. L., & He, B. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2297332 · Cited by 47 · see citing works
Truncated RAP-MUSIC (TRAP-MUSIC) for MEG and EEG source localization
Mäkelä, N., Stenroos, M., Sarvas, J., & Ilmoniemi, R. J. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.11.013 · Cited by 47 · see citing works
Wang, H., Wu, X., & Yao, L. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3006847 · Cited by 47 · see citing works
Kobayashi, K., Akiyama, T., Nakahori, T., Yoshinaga, H., & Gotman, J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00046-9 · Cited by 47 · see citing works
MapFi: Autonomous Mapping of Wi-Fi Infrastructure for Indoor Localization
Tong, X., Wang, H., Liu, X., & Qu, W. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3108155 · Cited by 46 · see citing works
Ammari, H. M., Яковлева, Е., & Lesselier, D. (2005) · SIAM Journal on Scientific Computing · doi:10.1137/040612518 · Cited by 46 · see citing works
MEG and EEG Source Localization in Beamspace
Rodriguez-Rivera, A., Baryshnikov, B. V., VanVeen, B. D., & Wakai, R. T. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2005.869764 · Cited by 45 · see citing works
Ding, L., & He, B. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.878118 · Cited by 44 · see citing works
The Iterative Reweighted Mixed-Norm Estimate for Spatio-Temporal MEG/EEG Source Reconstruction
Strohmeier, D., Bekhti, Y., Haueisen, J., & Gramfort, A. (2016) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2016.2553445 · Cited by 44 · see citing works
Magnetic Source Imaging of the Human Brain
Lu, Z., & Kaufman, L. (2003) · Psychology Press eBooks · doi:10.4324/9781410609175 · Cited by 43 · see citing works
Sparse EEG Source Localization Using Bernoulli Laplacian Priors
Costa, F., Batatia, H., Chaâri, L., & Tourneret, J. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2450015 · Cited by 41 · see citing works
Park, W. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.107501 · Cited by 41 · see citing works
Magnetoencephalography and its Achilles' heel
Lütkenhöner, B. (2003) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2004.01.020 · Cited by 40 · see citing works
The impact of improved MEG–MRI co-registration on MEG connectivity analysis
Chella, F., Marzetti, L., Stenroos, M., Parkkonen, L. T., Ilmoniemi, R. J., Romani, G. L., & Pizzella, V. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.061 · Cited by 37 · see citing works
Sommariva, S., & Sorrentino, A. (2014) · Inverse Problems · doi:10.1088/0266-5611/30/11/114020 · Cited by 36 · see citing works
Maximum contrast beamformer for electromagnetic mapping of brain activity
Chen, Y., Cheng, C.-Y., Hsieh, J., & Chen, L. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.878115 · Cited by 35 · see citing works
Sequential High-Resolution Direction Finding From Higher Order Statistics
Birot, G., Albera, L., & Chevalier, P. (2010) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2010.2049569 · Cited by 35 · see citing works
A Rao–Blackwellized particle filter for magnetoencephalography
Campi, C., Pascarella, A., Sorrentino, A., & Piana, M. (2008) · Inverse Problems · doi:10.1088/0266-5611/24/2/025023 · Cited by 34 · see citing works
Reconstruction of a Small Inclusion in a Two-Dimensional Open Waveguide
Ammari, H. M., Яковлева, Е., & Kang, H. (2005) · SIAM Journal on Applied Mathematics · doi:10.1137/040615389 · Cited by 33 · see citing works
Kobayashi, K., Akiyama, T., Nakahori, T., Yoshinaga, H., & Gotman, J. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00047-0 · Cited by 33 · see citing works
Park, W., Kim, H. P., Lee, K., & Son, S. (2017) · Journal of Computational Physics · doi:10.1016/j.jcp.2017.07.035 · Cited by 32 · see citing works
Soltanaghai, E., Dongare, A., Prabhakara, A., Kumar, S., Rowe, A., & Whitehouse, K. (2021) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3448082 · Cited by 32 · see citing works
Multi-subject MEG/EEG source imaging with sparse multi-task regression
Janati, H., Bazeille, T., Thirion, B., Cuturi, M., & Gramfort, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116847 · Cited by 31 · see citing works
Probabilistic Structure Learning for EEG/MEG Source Imaging With Hierarchical Graph Priors
Liu, F., Wang, L., Lou, Y., Ren-cang Li, C., & Purdon, P. L. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.3025608 · Cited by 31 · see citing works
Miao, L., Zhang, J. J., Chakrabarti, C., & Papandreou‐Suppappola, A. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2226172 · Cited by 31 · see citing works
Eddy, T., Nomura, W., Cheng, J., Taromaru, M., Watanabe, Y., & Ohira, T. (2008) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2008.927501 · Cited by 29 · see citing works
Harmony: EEG/MEG Linear Inverse Source Reconstruction in the Anatomical Basis of Spherical Harmonics
Petrov, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0044439 · Cited by 28 · see citing works
MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data
Esch, L., Dinh, C., Larson, E., Engemann, D. A., Jas, M., Khan, S., Gramfort, A., & Hämäläinen, M. (2019) · Springer eBooks · doi:10.1007/978-3-030-00087-5_59 · Cited by 28 · see citing works
Advanced Signal Processing Methods for Characterization of Schizophrenia
Masychev, K., Ciprian, C., Ravan, M., Reilly, J. P., & MacCrimmon, D. J. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3011842 · Cited by 28 · see citing works
Somogyvári, Z., Cserpán, D., Ulbert, I., & Érdi, P. (2012) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2012.08249.x · Cited by 28 · see citing works
Data-driven parceling and entropic inference in MEG
Lapalme, E., Lina, J., & Mattout, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.067 · Cited by 28 · see citing works
Matching Pursuit and Source Deflation for Sparse EEG/MEG Dipole Moment Estimation
Wu, S. C., & Swindlehurst, A. L. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2253101 · Cited by 27 · see citing works
Improving Noise Robustness in Subspace-Based Joint Sparse Recovery
Kim, J. M., Lee, O. K., & Ye, J. C. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2211591 · Cited by 27 · see citing works
Efficient Localization of Synchronous EEG Source Activities Using a Modified RAP-MUSIC Algorithm
Liu, H., & Schimpf, P. H. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.870236 · Cited by 27 · see citing works
Latif, M. A., Sanei, S., Chambers, J. A., & Shoker, L. (2006) · IEEE Signal Processing Letters · doi:10.1109/lsp.2005.862622 · Cited by 26 · see citing works
Dipole localization using simulated intracerebral EEG
Chang, N., Gulrajani, R. M., & Gotman, J. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.07.002 · Cited by 26 · see citing works
Minimum Overlap Component Analysis (MOCA) of EEG/MEG data for more than two sources
Nolte, G., Marzetti, L., & Valdes-Sosa, P. A. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.07.006 · Cited by 25 · see citing works
STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging
Liu, K., Yu, Z. L., Wu, W., Gu, Z., & Li, Y. (2015) · International Journal of Neural Systems · doi:10.1142/s0129065715500161 · Cited by 25 · see citing works
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination
Liu, F., Rosenberger, J. M., Lou, Y., Hosseini, R., Su, J., & Wang, S. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2017.2756664 · Cited by 25 · see citing works
MEG Source Imaging Using Multipolar Expansions
Mosher, J. C., Leahy, R. M., Shattuck, D. W., & Baillet, S. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48714-x_2 · Cited by 25 · see citing works
Self-citationBender, S., Becker, D., Oelkers‐Ax, R., & Weisbrod, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.03.009 · Cited by 24 · see citing works
Projection Versus Prewhitening for EEG Interference Suppression
Wu, S. C., Swindlehurst, A. L., Wang, P. T., & Nenadić, Z. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2187335 · Cited by 24 · see citing works
BEM based solution of forward problem for brain source estimation
Jatoi, M. A., Kamel, N., Faye, I., Malik, A. S., Sánchez‐Bornot, J. M., & Begum, T. (2015) · IEEE International Conference on Signal and Image Processing Applications (ICSIPA) · doi:10.1109/icsipa.2015.7412186 · Cited by 24 · see citing works
A Machine Learning Approach Using Effective Connectivity to Predict Response to Clozapine Treatment
Ciprian, C., Masychev, K., Ravan, M., Reilly, J. P., & MacCrimmon, D. J. (2020) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2020.3019685 · Cited by 24 · see citing works
Self-Consistent MUSIC: An approach to the localization of true brain interactions from EEG/MEG data
Avarvand, F. S., Ewald, A., & Nolte, G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.054 · Cited by 23 · see citing works
Brain Source Localization in Head Harmonics Domain
Giri, A., Kumar, L., & Gandhi, T. K. (2020) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2020.3026511 · Cited by 23 · see citing works
An in–vivo validation of ESI methods with focal sources
Pascarella, A., Mikulan, E., Sciacchitano, F., Sarasso, S., Rubino, A., Sartori, I., Cardinale, F., Zauli, F. M., Avanzini, P., Nobili, L., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120219 · Cited by 23 · see citing works
Phase shift invariant imaging of coherent sources (PSIICOS) from MEG data
Ossadtchi, A. E., Altukhov, D., & Jerbi, K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.031 · Cited by 23 · see citing works
- Authors
- Mosher, J. C., & Leahy, R. M.
- Affiliations
- Los Alamos National Laboratory (US)
- University of Southern California (US)
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1999
- Volume
- 47
- Issue
- 2
- Pages
- 332-340
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2126767504
- Cited by
- 398
- References
- 16
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 11 · 2023: 15 · 2022: 18 · 2021: 19 · 2020: 17 · 2019: 16 · 2018: 20 · 2017: 24 · 2016: 8 · 2015: 19 · 2014: 16 · 2013: 15 · 2012: 17
- FWCI
- 11.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Signal Processing (publishedVersion)
- Funders
- University of Southern California
- Villanova University
- Topics
- Physical Sciences › Computer Science › Signal Processing › Direction-of-Arrival Estimation Techniques
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Keywords
- source localization, rap music, MUSIC algorithm, signal subspace estimation, principal angles, correlated sources, uniform linear array, magnetoencephalography
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