†Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, SP, Brazil ‡ Department of Applied Mathematics, Institute of Mathematics, Statistics and ...
ABSTRACT: An in-depth description of an apparently forgotten matrix operation, the reversal operator, is developed. The properties of such an operation are also given, resulting in a new vector-matrix ...
PDC Center for High Performance Computing, KTH Royal Institute of Technology, SE-100 44 Stockholm, Sweden Division of Theoretical Chemistry and Biology, School of Engineering Sciences in Chemistry, ...
Spectral clustering is quite complex, but it can reveal patterns in data that aren't revealed by other clustering techniques. Data clustering is the process of grouping data items so that similar ...
This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of ...
Eigenvalues play a crucial role in various fields of study like physics, engineering, and mathematics. They are essential for understanding matrix diagonals, linear transformations, and eigenfunction ...
Abstract: Traditional beamforming algorithms are only applicable to ideal environments. When the array antenna receives data under circumstances of small snapshots or large signal-to-noise ratio(SNR), ...
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