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Music performance anxiety: Insights from psychological science. [PDF]
Front PsychiatryLim S, Dhamabutra N.
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Removing the outliers in root-MUSIC via conventional beamformer
Signal Processing, 1997zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alex B Gershman
exaly +4 more sources
Polynomial coefficient finding for Root-MUSIC
Journal of Electronics, 2009Root-MUSIC (MUltiple SIgnal Classification) is the polynomial rooting form of MUSIC, namely, the spectrum peak searching is resplaced by the polynomial rooting in MUSIC implementation. The coefficients finding of the polynomial is the critical problem for Root-MUSIC and its improvements.
Xiaojun Liu, Congfeng Liu, Guisheng Liao
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A Novel Solution for root-MUSIC with Reduced Complexity
2019 Sixth Iranian Conference on Radar and Surveillance Systems, 2019The root-MUSIC algorithm is a popular method to estimate Angle of Arrival (AoA) as an extension of multiple signal classification (MUSIC). In this paper, we have proposed a novel solution for the root-MUSIC algorithm. The new method exhibits a much lower computational complexity, while maintaining the same theoretical performance as the root-MUSIC.
Meysam Eskandari +2 more
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Performance analysis of Root-Music
IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989The authors analyze the performance of Root-Music, a variation of the MUSIC algorithm, for estimating the direction of arrival (DOA) of plane waves in white noise in the case of a linear equispaced sensor array. The performance of the method is analyzed by examining the perturbation in the roots of the polynomial formed in the intermediate step of Root-
Bhaskar D. Rao, K. V. S. Hari
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The spherical harmonics root-music
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016Spherical harmonics root-MUSIC (MUltiple SIgnal Classification) technique for source localization using spherical microphone array is presented in this paper. Earlier work on root-MUSIC is limited to linear and planar arrays. Root-MUSIC for planar array utilizes the concept of manifold separation and beamspace transformation.
Lalan Kumar, Guoan Bi, Rajesh M. Hegde
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Circuits Systems and Signal Processing, 2000
In direction finding MUSIC (multiple signal classification) is used in different versions. In certain situations second-order algorithms perform well, whereas in other cases higher-order methods should be preferred. That's why the authors propose the combination of these methods to obtain optimal performance in the case of unknown signal properties. In
Gershman, Alex B., Messer, Hagit
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In direction finding MUSIC (multiple signal classification) is used in different versions. In certain situations second-order algorithms perform well, whereas in other cases higher-order methods should be preferred. That's why the authors propose the combination of these methods to obtain optimal performance in the case of unknown signal properties. In
Gershman, Alex B., Messer, Hagit
openaire +1 more source