In this paper, a new array synthesis approach is developed for the design of reconfigurable sparse arrays radiating sum and difference patterns. The proposed approach provides a significant reduction in the complexity of the beam forming network, which is fulfilled by reducing the number of antenna ...
Sparse recovery-based methods for DOA estimation Robust DOA estimation in low SNR or small snapshot number Multi-dimensional sparse array signal processing Hardware implementation and design Applications to sonar, radar, MRI, geolocation, and other areas ...
Followed by that, deep learning algorithm implementations as systolic arrays catering to the needs of specific embedded applications are discussed. The architectural modifications addressing sparse matrix representations and structural pruning to improve the data reuse in systolic arrays are discussed. Both ...
> sparse.forEach(function (x) { console.log(x) }); c > dense.forEach(function (x) { console.log(x) }); undefined undefined c Which Operations Ignore Holes, and Which Consider Them? Some operations involving arrays ignore holes, while others consider them. This sections explains the deta...
Followed by that, deep learning algorithm implementations as systolic arrays catering to the needs of specific embedded applications are discussed. The architectural modifications addressing sparse matrix representations and structural pruning to improve the data reuse in systolic arrays are discussed. Both ...
Support for sparse matrix (in form of a sparse column matrix and dictionary of keys matrix) will be coming shortly.Dense TensorsThe *Dense tensor is the primary tensor and is represented by a singular flat array, regardless of dimensions. See the Design of *Dense section for more information...
% determine indices for data impacted by each parameter (do this once in an optimization run and place in Cntrl structure) [jg,ig]=find(Cntrl.G);% get indices of all non-zero elements of the collocation array Indexes=[jg(:) ig(:)];% put indices in a matrix to facilitate making a ...
and allows the watermark to be used as a registration mark [2]. The number of frames with unique marks is variable, up top.Each mark can be repeated as needed. Additionally, because of their low cross-correlation, multiple arrays can be embedded in the same frame, to increase the data ...
We employed additional rows in the crossbar arrays and identified the best matching units by directly calculating the similarities between the input vectors and the weight matrix in the hardware. Using the memristor-based SOM, we demonstrated data clustering, image processing and solved the traveling...
3 for the stability of the random resistor arrays and Supplementary Fig. 4 for their tunability). Fig. 1: Hardware–software co-design of random resistive memory-based ESGNN for graph learning. a, A cross-sectional transmission electron micrograph of a single resistive memory cell that works ...