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On the impact of the covariance matrix size for spectrum sensing methods: beamforming versus eigenvalues.
Kais Bouallegue
Matthieu Crussière
Iyad Dayoub
Published in:
ISCC (2019)
Keyphrases
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covariance matrix
principal component analysis
covariance matrices
image processing
genetic algorithm
sample size
gaussian mixture
positive definite
machine learning
model selection
eigenvalues and eigenvectors