Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs' Coefficients.
Nicoletta SauligJonatan LergaZeljka MilanovicCornel IoanaPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- information content
- mutual information
- normal form
- noisy environments
- semantic similarity
- functional dependencies
- basis functions
- original signal
- linear combination
- signal processing
- pairwise
- information extraction
- low signal to noise ratio
- autoregressive model
- wavelet coefficients
- attribute values
- high frequency
- visual quality
- blind separation
- computer vision
- database design
- database
- blind source separation
- training data