Abstract: The sparse array could reduce the cost of physical antennas. However, implementing wideband beamforming directly based on the covariance matrix of the received signals from the sparse array ...
Abstract: Mobile crowd sensing (MCS) has emerged as a promising sensing paradigm with the widespread adoption of smartphones. However, one of the key bottlenecks in MCS lies in the high sensing cost ...
REM (rapid eye movement) and non-REM (NREM) sleep stages contribute to systems memory consolidation in hippocampal-cortical circuits. However, the physiological mechanisms underlying REM memory ...
Figures 12-14 are the land use/land cover maps of existing forest reserves in the FCT, namely; Tufa in Abaji, Chihuma, Chikwei, Kusoru and Shaba in Bwari, Maje Abuchi in Gwagwalada, then, Buga Hill, ...
Could the deepest laws of nature ever be reduced to lines of code? A team of physicists from Canada, the United States, the United Kingdom, and Italy has come up with a definitive answer: no. A new ...
A CPU-native, self-structuring learner that replaces heavy matrix multiplications with topological pathfinding. STAM learns a sparse set of representative anchor points in feature space. Instead of ...
1. Image transformations in Computer Graphics as images are composed of matrix. number of variables. 4. Self-driving car navigation can be made more accurate as matrix multiplication can accurately ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results