Results 61 to 70 of about 2,236 (212)
On the design of maximally sparse beamforming arrays [PDF]
IEEE Transactions on Antennas and Propagation, 1991 The problem of designing nonuniformly spaced arrays is formulated as one of constrained optimization in which the cost function is chosen to select the array with the minimum number of elements. The response of the array is controlled by a set of inequality point response constraints.
R.M. Leahy, B.D. Jeffs
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IET Radar, Sonar & NavigationTraditional adaptive beamforming techniques focus solely on optimising the excitation weights of array elements while neglecting the critical influence of element positioning on beamforming performance.
Weinian Li +4 more
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Constant beamwidth generalised sidelobe canceller
, 2005 In this paper, we proposed a constant beamwidth discrete Fourier transform (DFT) beamformer based on the generalised sidelobe canceller (GSC). Broadband signals are decomposed into frequency bins which are grouped into octaves and tapered individually ...
Weiss, Stephan +5 more
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International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT The integration of low Earth orbit (LEO) satellite constellations with commercial aircraft communication systems presents critical challenges in maintaining continuous connectivity during dynamic flight conditions. Current geostationary satellite systems suffer from high round‐trip latency (>$$ > $$ 500 ms) and inadequate coverage at high ...
Raúl Parada +4 more
wiley +1 more source
The Journal of Engineering, 2019 Here, the authors propose a novel robust adaptive beamforming method, which is robust to both of the covariance matrix mismatch and the steering vector estimation mismatch.
Lei Yu +3 more
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Adapting Deep Learning Phase Detectors for Seismic Array Processing
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.Abstract Deep learning (DL) has considerably advanced single‐station seismic phase detection, but its integration into seismic array processing remains largely unexplored. We evaluate three strategies for adapting the previously developed TPhaseNet detector for regional phase detection to array data: (a) ensemble detection through stacking of single ...
A. Köhler +3 more
wiley +1 more source
Sparse microphone array design for wideband beamforming
2013 18th International Conference on Digital Signal Processing (DSP), 2013 The sparse wideband sensor/microphone array design problem is highly nonlinear and it is traditionally solved by genetic algorithms, simulated annealing or other similar optimization methods. This is an extremely time-consuming process and an optimum solution is not guaranteed.
Matthew B. Hawes, Wei Liu 0001
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Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?
European Journal of Neuroscience, Volume 63, Issue 12, June 2026.Speech neurophysiology is moving from controlled listening tasks to dynamic, socially rich interactions, challenging traditional methods. This shift promises deeper insights into how the brain processes and represents speech in real‐world contexts, while introducing new analytical complexities.
Giovanni M. Di Liberto, Emily Y. J. Ip
wiley +1 more source
Adaptive Re-Weighting Homotopy For Sparse Beamforming
, 2014 Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal ...
Fernando G. Almeida Neto +3 more
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Fast deconvolved beamforming for arbitrary arrays based on off-grid sparse Bayesian learning [PDF]
JASA Express LettersThe deconvolved beamforming (dCv) improves spatial resolution without expanding the array aperture but fails for the shift-variant beam pattern and the real targets, which are not located on the sampling grids.
Jianli Huang +5 more
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