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Sparse Bayesian learning for beamforming using sparse linear arrays
The Journal of the Acoustical Society of America, 2018Sparse linear arrays such as co-prime and nested arrays can resolve more sources than the number of sensors. In contrast, uniform linear arrays (ULA) cannot resolve more sources than the number of sensors. This paper demonstrates this using Sparse Bayesian learning (SBL) and co-array MUSIC for single frequency beamforming.
Santosh, Nannuru +4 more
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Low Sidelobe Sparse Array Processing
Digital Signal Processing, 2002Abstract Foster, S., Low Sidelobe Sparse Array Processing, Digital Signal Processing 12 (2002) 360–371 The coherent multiweight beamformer (CMWB) recently proposed by the author is analyzed from the point of view of its co-array structure. It is shown that for certain classes of sparse arrays it is possible to design CMWB beamformers to an ...
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Sparse and irregular sampling in array processing
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002Rule-based thinning and element placement methods are first discussed. This includes random arrays, binned random arrays, periodic thinning, element shadowing properties, and fractal arrays. The algorithmic optimization of layouts of 1-D and 2-D sparse arrays is presented and it is empirically derived that the peak sidelobe level for an array with K ...
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Sparse Matrix Computations on Parallel Processor Arrays
SIAM Journal on Scientific Computing, 1993This paper investigates the balancing of distributed compressed storage of large sparse matrices on a massively parallel computer. For fast computation of matrix–vector and matrix–matrix products on a rectangular processor array with efficient communications along its rows and columns it is required that the nonzero elements of each matrix row or ...
Andrew T. Ogielski, William Aiello
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2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023
Kretika Goel +2 more
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Kretika Goel +2 more
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APPLICATION OF ARRAY PROCESSOR TO SPARSE ELIMINATION
Proceedings of SPE Reservoir Simulation Symposium, 1979Abstract The Floating Point Systems array processor AP120B can be used to efficiently solve large systems of linear equations by a sparse Gaussian elimination technique. Bench mark tests show the following results: For LU factorization, the AP120B requires 22 to 35% less CPU time than the IBM 370/168; for forward or
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Sparse Linear Arrays for Direction-of-Arrival Estimation: A Tutorial Overview
IEEE Aerospace and Electronic Systems MagazineSparse linear arrays serve as the fundamental basis for sparse signal processing and have demonstrated remarkable direction-of-arrival (DOA) estimation performance.
Xiang Li +6 more
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Accessing Sparse Arrays in Parallel Memories
1983The concept of dense and sparse execution of arrays is introduced. Arrays, themselves, can be stored in a dense or sparse manner in a parallel memory with m memory modules. Hardware is proposed for speeding up the execution of array operations of the form C(c//0 plus cI) implied by A(a//0 plus al) OP B(b//0 plus bI), where a//0, a, b//0, b, c//0, c are
Banerjee, U., Gajski, D., Kuck, D.
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Super Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling—Part I: Fundamentals
IEEE Transactions on Signal Processing, 2016Chun-Lin Liu, P. Vaidyanathan
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