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MUSIC (algorithm)
Known as:
Multiple signal classification
MUSIC (MUltiple SIgnal Classification) is an algorithm used for frequency estimation and emitter location.
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Related topics
Related topics
4 relations
Autocorrelation matrix
Autoregressive model
Pisarenko harmonic decomposition
Broader (1)
Digital signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Analysis of various inverters feeding induction motors with incipient rotor fault using high-resolution spectral analysis
I. Martin-Diaza
,
D. Morinigo-Sotelob
,
O. Duque-Perezb
,
P. A. Arredondo-Delgadoa
,
D. Camarena-Martineza
,
R. J. Romero-Troncosoa
2018
Corpus ID: 49361509
Recently, there has been an increased interest in fault detection on electrical machines in steady-state regimes. Several…
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2018
2018
Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method
Chang Liu
,
Songyun Xie
,
Xinzhou Xie
,
Xu Duan
,
Wei Wang
,
K. Obermayer
Balkan Conference in Informatics
2018
Corpus ID: 34834515
Brain computer interface (BCI) based on visual stimulus is widely used, however, subjects have to focus on the stimulus rather…
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2015
2015
Hybrid RSS-DOA technique for enhanced WSN localization in a correlated environment
M. AlHajri
,
A. Goian
,
+4 authors
A. Kulaib
International Conference on Information and…
2015
Corpus ID: 18183826
This paper proposes a modified hybrid method for WSN localization that combines Received Signal Strength (RSS) and Direction of…
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2012
2012
GSM mobile phone localization using time difference of arrival and angle of arrival estimation
Lars Zimmermann
,
Alexander Goetz
,
G. Fischer
,
R. Weigel
International Multi-Conference on Systems…
2012
Corpus ID: 22688631
The localization methods time difference of arrival (TDOA) and angle of arrival (AOA) are investigated in their capability of…
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2010
2010
Comparison of computation time for estimation of dominant frequency of atrial electrograms: Fast fourier transform, blackman tukey, autoregressive and multiple signal classification
Anita Ahmad
,
F. Schlindwein
,
G. Ng
2010
Corpus ID: 402590
Dominant frequency (DF) of electrophysiological data is an effective approach to estimate the activation rate during Atrial…
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2007
2007
Wireless Localization using Time Difference of Arrival in Narrow-Band Multipath Systems
C. Comsa
,
Jianghong Luo
,
A. Haimovich
,
Stuart C. Schwartz
International Symposium on Signals, Circuits and…
2007
Corpus ID: 21830751
The problem of estimating the location of a source is addressed based on the time difference of arrival (TDoA) of the first…
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2005
2005
Multiple Signal Classification by Aggregated Microphones
M. Matsumoto
,
S. Hashimoto
IEICE Transactions on Fundamentals of Electronics…
2005
Corpus ID: 35596613
This paper introduces the multiple signal classification (MUSIC) method that utilizes the transfer characteristics of microphones…
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2004
2004
Stop consonant classification by dynamic formant trajectory
Yanli Zheng
,
M. Hasegawa-Johnson
,
Sarah Borys
Interspeech
2004
Corpus ID: 2795470
A cable reel assembly particularly adapted for, but not limited to, a system for providing electrical connection of power and…
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1996
1996
A subspace method for model order estimation in CDMA
J. Joutsensalo
Proceedings of ISSSTA'95 International Symposium…
1996
Corpus ID: 123176874
In the code-division multiple access (CDMA), the arising data model is linear. The parametric form of the data is known via the…
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1993
1993
On estimating the direction of arrival when the number of signal sources is unknown
Jinho Choi
,
I. Song
,
Hyung-Myung Kim
Signal Processing
1993
Corpus ID: 9148486
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