A method for estimating the parameters of the K distribution.
D. Robert IskanderAbdelhak M. ZoubirBoualem BoashashPublished in: IEEE Trans. Signal Process. (1999)
Keyphrases
- input data
- synthetic data
- sensitivity analysis
- experimental evaluation
- preprocessing
- density function
- detection method
- high accuracy
- parameter selection
- normal distribution
- support vector machine
- significant improvement
- pairwise
- cost function
- classification method
- high precision
- closed form
- parameter settings
- computational complexity
- similarity measure