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Minimizing peak sidelobe level and maximizing array efficiency in array antenna using phase-only beamforming based on modified GA-SQP algorithm. [PDF]
Hatam M, Mohammadpour M, Abdi S.
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Volumetric Ultrasound Imaging Based on 4096-Element Large-Aperture 2D Array. [PDF]
Liu B +8 more
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BeamCraft: Deep Reinforcement Learning-DrivenMulti-Objective Beamforming for ISAC
Dao DN, Miao Y.
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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.
Reuven Berkun +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.
Jongrok Park +3 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
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2017
Acoustically hard objects, such as bones, needles, or catheters, are poorly visualized in conventional ultrasound images. These objects behave like acoustic mirrors and reflect sound in specific directions. Soft tissue and diffusive reflectors scatter sound in a broad range of directions.
Alfonso Rodriguez-Molares +3 more
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Acoustically hard objects, such as bones, needles, or catheters, are poorly visualized in conventional ultrasound images. These objects behave like acoustic mirrors and reflect sound in specific directions. Soft tissue and diffusive reflectors scatter sound in a broad range of directions.
Alfonso Rodriguez-Molares +3 more
openaire +2 more sources

