Improvement in accuracy for dimensionality reduction and reconstruction of noisy signals. Part II: The case of signal samples.
Pablo Soto-QuirosAnatoli TorokhtiPublished in: Signal Process. (2019)
Keyphrases
- dimensionality reduction
- signal reconstruction
- signal processing
- compressive sensing
- random projections
- noisy environments
- low signal to noise ratio
- sparse signal representation
- image reconstruction
- signal detection
- radio frequency
- principal component analysis
- original signal
- principal components
- biomedical signals
- multidimensional signals
- received signal
- signal acquisition
- band limited
- heart rate
- white noise
- sparse representation
- feature extraction
- joint optimization
- compressed sensing
- feature selection
- input signals
- noisy data
- low dimensional
- high resolution
- ecg signals
- independent component analysis
- power spectral density
- training samples
- acoustic emission