Blind equalization algorithm based on least squares support vector regressor.
Huilin YaoSonglan ZhangZhenpeng WangPublished in: EMEIT (2011)
Keyphrases
- least squares
- blind equalization algorithm
- support vector
- layer feed forward neural network
- ls svm
- blind equalization
- robust estimation
- linear regression
- kernel methods
- kernel function
- cross validation
- loss function
- feature selection
- svm classifier
- logistic regression
- support vector machine
- classification accuracy
- parameter estimation
- sparse linear
- generalization ability
- hyperparameters
- binary classification
- optical flow
- learning machines
- levenberg marquardt
- neural network
- pairwise
- artificial neural networks
- decision function
- curve fitting
- maximum margin
- support vector regression
- hyperplane
- radial basis function
- training examples