11,132 Hits in 5.7 sec

Source localization based on symmetrical MUSIC and its statistical performance analysis

FengGang Yan, Ming Jin, XiaoLin Qiao
2013 Science China Information Sciences  
It is also indicated by further analysis that the new technique shows an improved resolution for closely-spaced sources over the standard MUSIC, and the relationship between S-MUSIC and the standard MUSIC  ...  The statistical performance of S-MUSIC is studied and a close-form expression for the MSEs (mean square errors) of DOA estimation by the proposed estimator is derived.  ...  Statistical performance analysis We study the statistical performance of S-MUSIC based on the theory of subspace perturbation [15, 21] .  ... 
doi:10.1007/s11432-013-4841-6 fatcat:n4y536uitrauvi2xznlb54746q

Microphone Array Speech Processing

Sven Nordholm, ThusharaD Abhayapala, Simon Doclo, Sharon Gannot, P Naylor, Ivan Tashev
2010 EURASIP Journal on Advances in Signal Processing  
Those techniques are less reliant on array model and localization, but more on the statistical properties of speech signals such as sparseness, non-Gaussianity, and non-stationarity.  ...  It is thus important to provide new insights into those phenomena particularly the so called musical noise [5] . Finally, new and unusual use of microphone arrays is always interesting to see.  ...  "Musical noise analysis in methods of integrating microphone array and spectral subtraction based on higher-order statistics" [5] , an objective analysis on musical noise is conducted.  ... 
doi:10.1155/2010/694216 fatcat:bgbyup77lvgy3fhwk7sgrbxg7y

Distinct neural responses to chord violations: A multiple source analysis study

Eduardo A. Garza Villarreal, Elvira Brattico, Sakari Leino, Leif Østergaard, Peter Vuust
2011 Brain Research  
EEG was recorded and multiple source analysis was performed.  ...  We found that the dominant cortical sources for the ERAN were localized around Broca's area and its right homolog, whereas the MMN generators were localized around the primary auditory cortex.  ...  Ulla and Mogens Folmer Andersens Fond.  ... 
doi:10.1016/j.brainres.2011.02.089 pmid:21382359 fatcat:mvlcedz3dzbffmumxjwmp5e6mm

Brain Source Localization Using a Fourth-Order Deflation Scheme

L. Albera, A. Ferreol, D. Cosandier-Rimele, I. Merlet, F. Wendling
2008 IEEE Transactions on Biomedical Engineering  
The FO-D-MUSIC method is based on i) the separability of the data transfer matrix as a function of location and orientation parameters, ii) the Fourth Order (FO) virtual array theory, and iii) the deflation  ...  This method named FO-D-MUSIC allows for localization of brain current sources with unconstrained orientations from surface electro-or magnetoencephalographic data using spherical or realistic head geometries  ...  His research interests include Multilinear Algebra and High-Order Statistics in order to perform Independent Component Analysis (ICA) and source localization.  ... 
doi:10.1109/tbme.2007.905408 pmid:18269984 pmcid:PMC2267684 fatcat:asgirdstbjf3zmrb5xztmysevi

Estimation of directions of arrival of multiple scattered sources

M. Ghogho, O. Besson, A. Swami
2001 IEEE Transactions on Signal Processing  
Despite its simplicity, the AR-based estimator is shown to possess performance that is nearly as good as that of the covariance matching method.  ...  We consider the problem of estimating the directions of arrival (DOA) of multiple sources in the presence of local scattering.  ...  Notice that both root-MUSIC and DISPARE perform very poorly when the sources have unequal powers; the proposed AR estimator continues to perform well.  ... 
doi:10.1109/78.960395 fatcat:qz3bkk362jelnbjwp2dxracmi4

The EAR Project

Julien Bonnal, Sylvain Argentieri, Patrick Danès, Jérome Manhès, Philippe Souères, Marc Renaud
2010 Journal of the Robotics Society of Japan  
The strategy [4], based on modal analysis and convex optimization, solves these problems at it enables the array azimuthal focusing onto a broadband source of known range while restricting the array white  ...  Localization is performed using the MUSIC method outlined in section 3. 2. As four beamspaces are used, up to three sources can be simultaneously localized.  ...  Julien Bonnal Julien Bonnal graduated in Computer Science and Signal Processing. He is preparing a Ph.D thesis on robot audition at LAAS-CNRS, Toulouse, France.  ... 
doi:10.7210/jrsj.28.10 fatcat:n2gbmkucn5h4rkuqvd3pgk6osi

A Novel Sparse Array for Localization of Mixed Near-Field and Far-Field Sources

Yinsheng Wang, WeiJia Cui, Yuxi Du, Bin Ba, Fengtong Mei, Diego Masotti
2021 International Journal of Antennas and Propagation  
Then, we can estimate the range of the near-field source in the mixed source using a one-dimensional spectral search through estimated DOAs, and in the mixed sources, the near-field and far-field sources  ...  Numerical simulation results demonstrate that the proposed array showed an outstanding performance under estimation accuracy and resolution ability for both DOA and range estimation compared with existing  ...  Some algorithms based on nested array for mixed sources localization have been developed.  ... 
doi:10.1155/2021/3960361 fatcat:ysl6zj4z55etvkvyegyw7occce

A Tutorial on Independent Component Analysis [article]

Jonathon Shlens
2014 arXiv   pre-print
Independent component analysis (ICA) has become a standard data analysis technique applied to an array of problems in signal processing and machine learning.  ...  This tutorial provides an introduction to ICA based on linear algebra formulating an intuition for ICA from first principles.  ...  Lyu and Simoncelli (2009) provide a tremendous discussion on the statistics of ICA and its relationship to natural signal statistics.  ... 
arXiv:1404.2986v1 fatcat:luui73j46zetjob5m4y3ags6ai

A Review on Machine Learning for Audio Applications

Nagesh B, R V College of Engineering, Bengaluru, India., Dr. M. Uttara Kumari, R V College of Engineering, Bengaluru, India.
2021 Journal of University of Shanghai for Science and Technology  
It deals with the manipulation of the audio signals to achieve a task like filtering, data compression, speech processing, noise suppression, etc. which improves the quality of the audio signal.  ...  There is a need for machine learning or deep learning algorithms which can be implemented so that the audio signal processing can be achieved with good results and accuracy.  ...  The trials were carried out in two stages, based on the feature statistics acquired.  ... 
doi:10.51201/jusst/21/06508 fatcat:iwj523grmnfm3awyiks6ebncgm

MEG Source Localization Using Invariance of Noise Space

Junpeng Zhang, Tommi Raij, Matti Hämäläinen, Dezhong Yao, Gareth Robert Barnes
2013 PLoS ONE  
We compare INN with classical MUSIC, RAP-MUSIC, and beamformer approaches using simulated data while varying signal-to-noise ratios as well as distance and temporal correlation between two sources.  ...  In all cases, INN performed well, especially when the sources were closely spaced, highly correlated, or one source was considerably stronger than the other.  ...  Fa-Hsuan Lin and the anonymous reviewer for valuable comments on this manuscript. Author Contributions  ... 
doi:10.1371/journal.pone.0058408 pmid:23505502 pmcid:PMC3591341 fatcat:m7dtgq23and4tj5utfrnkgjp4m

Neural silences can be localized rapidly using noninvasive scalp EEG

Alireza Chamanzar, Marlene Behrmann, Pulkit Grover
2021 Communications Biology  
of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm).  ...  detection and localization of regions of silence in the brain using a relatively small amount of EEG data.  ...  Data availability The anonymized raw EEG dataset and MRI scans (shown in Fig. 2 ) of the participants in this research are made available online on KiltHub, Carnegie Mellon University's online data repository  ... 
doi:10.1038/s42003-021-01768-0 pmid:33785813 pmcid:PMC8010113 fatcat:4jksm2uga5hjjeeen6tgtdg5va

Computationally efficient near-field source localization using third-order moments

Jian Chen, Guohong Liu, Xiaoying Sun
2014 EURASIP Journal on Advances in Signal Processing  
In this paper, a third-order moment-based estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm is proposed for passive localization of near-field sources.  ...  Compared with the high-order ESPRIT method, the proposed algorithm requires a lower computational burden, and it avoids the parameter-match procedure.  ...  In Section 3, an efficient third-order momentbased ESPRIT algorithm is proposed to deal with the nearfield source localization problem, and the performance analysis of the proposed algorithm is also addressed  ... 
doi:10.1186/1687-6180-2014-98 fatcat:xvpbinmo7fh5hg545wth7h2mza

Source Localization of EM Waves in the Near-Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling

Oluwole John Famoriji, Thokozani Shongwe, Fawad Zaman
2021 Wireless Communications and Mobile Computing  
For ground truth performance evaluation of the SH features within the context of NF localization, a numerical experiment is conducted and measured data were used for analysis to incorporate the MC and  ...  However, near-field (NF) source localization of signals has hitherto not been investigated effectively using SAA in the presence of mutual coupling (MC).  ...  Moreover, near-field source localization has been dealt with in different angles using source non-circularity and based on the virtual ESPRIT idea [26] , symmetric subarrays [27] , two-level nested arrays  ... 
doi:10.1155/2021/3237219 fatcat:rdusecgmgrfgbkpmatx54p4suu

Enhanced Bleedthrough Correction For Early Music Documents With Recto-Verso Registration

John Ashley Burgoyne, Johanna Devaney, Laurent Pugin, Ichiro Fujinaga
2008 Zenodo  
In our earlier experiments [4] , it was the only locally adaptive algorithm to perform well for music documents.  ...  Based on the success of the KL-based thresholding algorithms for music images, however, we replaced the sum-of-squares error metric used in [8] and [11] with symmetrized KL divergence.  ... 
doi:10.5281/zenodo.1417234 fatcat:hjoe7ymjdzgstlajfgglaus23i

Subspace analysis of spatial time-frequency distribution matrices

Yimin Zhang, Weifeng Ma, M.G. Amin
2001 IEEE Transactions on Signal Processing  
We develop the analysis and statistical properties of the subspace estimates based on STFDs for frequency modulated (FM) sources.  ...  The paper considers the MUSIC technique to demonstrate the advantages of STFDs and uses it as grounds for comparison between time-frequency and conventional subspace estimates.  ...  Yang of ATR Adaptive Communications Research Laboratories, Japan, for his helpful discussions on this subject during his visit to Villanova University.  ... 
doi:10.1109/78.912919 fatcat:oyvdrnqqfrcofohx6yrg22bxfm
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