Dynamic Threshold Detection Using Clustering in the Presence of Channel Mismatch and Additive Noise.
Kees A. ImminkKui CaiPublished in: IEEE Access (2020)
Keyphrases
- additive noise
- noisy images
- spatial domain
- maximum likelihood
- clustering algorithm
- random variables
- causal inference
- stochastic resonance
- neural network
- high dimensional data
- point spread function
- multi channel
- multiscale
- similarity measure
- feature extraction
- image classification
- image denoising
- edge detection
- ground truth
- computational complexity
- speech signal
- multiplicative noise
- feature selection