Results 211 to 220 of about 18,894 (263)

Research on Piezoelectric Guided Wave Frequency Diverse Array-Based Damage Location Method for Thin-Walled Structures. [PDF]

Micromachines (Basel)
Wang C, Hu Q, Zhong Y.
europepmc   +1 more source

Enabling and Enhancing Massive Multiple Input-Multiple Output Systems with Two-Dimensional Orthogonal Pattern Division Multiple Access. [PDF]

Sensors (Basel)
Wang R, Yao J, Shi Y, Liu Z, Bai X.
europepmc   +1 more source

Research on projection light field encoding and reconstruction based on parallel camera arrays. [PDF]

Sci Rep
Zhang F, Wang X, Shi ZS, Ma CP, Jiang XY.   +4 more
europepmc   +1 more source

Matrix Completion and Propagator Method-Based Fast 2D-DOA Estimation with Noise Suppression for Arbitrary EMVS Arrays. [PDF]

Sensors (Basel)
Ruan Y, Gong W.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Maximally economic sparse arrays and cantor arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
© 2017 IEEE. This work was supported in parts by the ONR grants N00014-15-1-2118 and N00014-17-1-2732, the NSF grant CCF-1712633, and the California Institute of Technology.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

Spray: Sparse Reductions of Arrays in OPENMP

2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
We present SPRAY, an open-source header-only C++ library for sparse reductions of arrays. SPRAY is meant for applications in which a large array is collaboratively updated by multiple threads using an associative and commutative operation such as +=. Especially when each thread accesses only parts of the array, SPRAY can perform significantly better ...
Jan Hückelheim, Johannes Doerfert
openaire   +1 more source

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Sparse arrays such as co-prime and nested arrays can identify more sources than the number of sensors. This is because their difference co-arrays contain a uniformly spaced virtual array with more elements than the number of sensors in the array. In this paper we demonstrate this using two dimensional co-prime and nested sparse arrays combined with ...
Santosh Nannuru, Peter Gerstoft
openaire   +1 more source

Tensor MUSIC in multidimensional sparse arrays

2015 49th Asilomar Conference on Signals, Systems and Computers, 2015
Tensor-based MUSIC algorithms have been successfully applied to parameter estimation in array processing. In this paper, we apply these for sparse arrays, such as nested arrays and coprime arrays, which are known to boost the degrees of freedom to O(N2) given O(N) sensors.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

Coherent array imaging with sparse arrays

Proceedings., International Conference on Image Processing, 2002
For coherent, phased-array imaging systems, sparse arrays are often used in which the aperture is not completely filled by the array. Often, the data that are not collected by the array are set to zero and an image is obtained through a straight-forward Fourier inversion.
openaire   +1 more source

Sparse Arrays: Fundamentals

2023
<p>© 2024 The Institute of Electrical and Electronics Engineers. Published by John Wiley & Sons.</p>
Vaidyanathan, Palghat P., Kulkarni, Pranav   +1 more
openaire   +2 more sources