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CAWE-ACNN Algorithm for Coprime Sensor Array Adaptive Beamforming. [PDF]
Liu F+5 more
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Energy Efficient Multi-Active/Multi-Passive Antenna Arrays for Portable Access Points. [PDF]
Tariq MH+3 more
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Integrating Electroencephalography Source Localization and Residual Convolutional Neural Network for Advanced Stroke Rehabilitation. [PDF]
Kaviri SM, Vinjamuri R.
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Circularly-polarized 28-GHz antenna for next generations of communication systems. [PDF]
Elsharkawy RR, Hussein KFA, Farahat AE.
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A tunable beamformer for robust superdirective beamforming
2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC), 2016Conventional superdirective beamforming is a well-known multi-microphone enhancement method with superior directivity factor (DF). However, it suffers from an inferior white noise gain (WNG), which is expressed by high sensitivity to uncorrelated noise and array inaccuracies.
Israel Cohen+2 more
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Beamforming Matrix Transformation for Random Beamforming
2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 2011The signal to interference plus noise ratio (SINR) feedback has been utilized in random beamforming (RBF) to select users for the provision of service in multiple-input multiple-output (MIMO) systems. A large number of users are required to obtain the gain of multi-user diversity for a downlink transmission.
Hojae Lee, Sanghoon Lee, Jongrok Park
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Spherical Fraction Beamforming
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2020This paper describes a beamforming method for one-eighth, quarter, and half-spaces, bounded by rigid planes. The proposed approach is based on the spherical fraction harmonic decomposition, similar to that of spherical harmonics decomposition for the whole sphere. The definition of these functions is given in detail.
Lecomte, Pierre+2 more
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The Journal of the Acoustical Society of America, 2014
Sound source localization with sensor arrays involves the estimation of the direction-of-arrival (DOA) from a limited number of observations. Compressive sensing (CS) solves such underdetermined problems achieving sparsity, thus improved resolution, and can be solved efficiently with convex optimization.
Angeliki, Xenaki+2 more
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Sound source localization with sensor arrays involves the estimation of the direction-of-arrival (DOA) from a limited number of observations. Compressive sensing (CS) solves such underdetermined problems achieving sparsity, thus improved resolution, and can be solved efficiently with convex optimization.
Angeliki, Xenaki+2 more
openaire +2 more sources
2012
Beamforming is one of the most commonly used methods for estimating the active neural sources from the MEG or EEG sensor readings. The basic assumption in beamforming is that the sources are uncorrelated, which allows for estimating each source independent of the others.
Bahramisharif, A.+4 more
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Beamforming is one of the most commonly used methods for estimating the active neural sources from the MEG or EEG sensor readings. The basic assumption in beamforming is that the sources are uncorrelated, which allows for estimating each source independent of the others.
Bahramisharif, A.+4 more
openaire +3 more sources