Signal detection in compound-Gaussian noise: Neyman-Pearson and CFAR detectors.
Ernesto ConteAntonio De MaioCarmela GaldiPublished in: IEEE Trans. Signal Process. (2000)
Keyphrases
- gaussian noise
- signal detection
- neyman pearson
- denoising
- noisy images
- image restoration
- noise level
- noise removal
- signal to noise ratio
- type ii
- object detection
- noise model
- target detection
- neural network
- low signal to noise ratio
- support vector machine
- weak signal
- impulse noise
- noise variance
- salt and pepper noise
- binary classification
- natural images
- multi class
- object recognition
- image denoising
- detection algorithm
- digital images