Improved Blind Spectrum Sensing by Covariance Matrix Cholesky Decomposition and RBF-SVM Decision Classification at Low SNRs.
Jianrong BaoJianyuan NieChao LiuBin JiangFang ZhuJianhai HePublished in: IEEE Access (2019)
Keyphrases
- covariance matrix
- support vector machine svm
- support vector
- support vector machine
- svm classifier
- covariance matrices
- class conditional densities
- radial basis function
- feature vectors
- feature selection
- feature extraction
- principal component analysis
- feature space
- spectrum sensing
- rbf kernel
- machine learning
- multi class
- knn
- sample size
- eigenvalues and eigenvectors
- signal to noise ratio
- positive definite
- multivariate gaussian
- correlation matrix
- computer vision
- cognitive radio
- training data
- hyperplane
- objective function
- wireless networks
- computer simulation
- training set
- neural network