On the well-posedness of multivariate spectrum approximation and convergence of high-resolution spectral estimators.
Federico RamponiAugusto FerranteMichele PavonPublished in: Syst. Control. Lett. (2010)
Keyphrases
- spectral resolution
- high resolution
- low resolution
- remote sensing
- rates of convergence
- super resolution
- multispectral
- high spatial resolution
- spatial resolution
- tandem mass
- conjugate gradient algorithm
- image processing
- error bounds
- high quality
- approximation error
- hyperspectral
- high frequency
- update rule
- convergence rate
- linear computational complexity
- regression model
- hyperspectral imagery
- image analysis
- short wave
- central limit theorem
- stationary points
- closed form
- approximation methods
- multispectral images
- multivariate time series
- iterative algorithms
- spectral analysis
- maximum likelihood estimator
- low resolution images
- hyperspectral images
- infrared
- magnetic resonance images
- field of view
- approximation algorithms
- satellite images