Efficient Acceptance-Rejection Method for Nakagami-m Complex Samples.
Rausley Adriano Amaral de SouzaRodrigo CogliattiMichel Daoud YacoubPublished in: IEEE Wirel. Commun. Lett. (2014)
Keyphrases
- significant improvement
- computationally efficient
- detection method
- cost function
- high accuracy
- synthetic data
- prior knowledge
- dynamic programming
- experimental evaluation
- high precision
- classification accuracy
- test data
- clustering method
- input data
- objective function
- data sets
- sample set
- end to end
- segmentation method
- support vector machine svm
- similarity measure
- neural network