Results 211 to 220 of about 18,855 (264)

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

Concurrent Multi-Beam Digital Predistortion Using FFT Beamforming and Virtual Arrays. [PDF]

Sensors (Basel)
Langborn B, Fager C, Hou R, Eriksson T.
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

Bounds for sparse planar and volume arrays [PDF]

IEEE Transactions on Information Theory, 2001
Summary: This correspondence improves and extends bounds on the numbers of sensors, redundancies, and holes for sparse linear arrays to sparse planar and volume arrays. As an application, the efficiency of regular planar and volume arrays with redundancies, but no holes, is deduced.
J -P Delmas
exaly   +3 more sources

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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

Maximally economic sparse arrays and cantor arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
Sparse arrays, where the sensors are properly placed with nonuniform spacing, are able to resolve more uncorrelated sources than sensors. This ability arises from the property that the difference coarray, defined as the differences between sensor locations, has many more consecutive integers (hole-free) than the number of sensors.
Chun-Lin Liu, P. P. Vaidyanathan
openaire   +2 more sources

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

Sparse array performance

The Journal of the Acoustical Society of America, 1977
A sparse array is formed from a linear equi-spaced array by omitting elements and substituting self- and crosspower terms from remaining elements to preserve the pattern and gain characteristics of the full array. However, the output noise is generally increased for any given averaging time.
Charles R. Greene, Roger C. Wood
openaire   +1 more source

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