Digital modulation classification under non-Gaussian noise using sparse signal decomposition and maximum likelihood.
Madhusmita MohantyUdit SatijaBarathram RamkumarM. Sabarimalai ManikandanPublished in: NCC (2015)
Keyphrases
- maximum likelihood
- additive noise
- signal detection
- received signal
- gaussian distribution
- classification accuracy
- random noise
- dictionary learning
- pattern recognition
- signal to noise ratio
- non stationary
- decision trees
- text classification
- feature selection
- support vector
- compressive sensing
- feature space
- image classification
- signal reconstruction
- synthetic aperture radar
- signal processing
- low signal to noise ratio
- single channel
- high dimensional
- weak signal
- sparse representation
- noise level
- sar images
- independent component analysis