Signal and Noise Covariance Estimation Based on ICA for High-Resolution Cortical Dipole Imaging.
Junichi HoriKentarou SunagaSatoru WatanabePublished in: IEICE Trans. Inf. Syst. (2010)
Keyphrases
- high resolution
- high frequency
- low frequency
- signal subspace
- independent component analysis
- correlation matrix
- signal processing
- low resolution
- random noise
- super resolution
- additive noise
- image processing
- source signals
- low signal to noise ratio
- estimation error
- statistically independent
- received signal
- noise level
- covariance matrix
- noisy environments
- independent components
- signal detection
- single channel
- non stationary
- high resolution images
- signal to noise ratio
- source separation
- additive gaussian noise
- field of view
- sar imaging
- power spectrum
- high quality
- remote sensing
- magnetic resonance images
- synthetic aperture sonar
- poisson noise
- weak signal
- face recognition
- noise variance
- radio frequency
- principal component analysis
- imaging process
- imaging systems
- spectral resolution
- frequency domain
- feature extraction
- imaging devices
- frequency band
- synthetic aperture radar
- image restoration
- charge coupled device
- direct sequence spread spectrum