Sparse convolution-based digital derivatives, fast estimation for noisy signals and approximation results.
Henri-Alex EsbelinRémy MalgouyresPublished in: Theor. Comput. Sci. (2016)
Keyphrases
- signal reconstruction
- noisy environments
- higher order
- signal processing
- compressive sensing
- update equations
- image processing
- low signal to noise ratio
- phase locked loop
- gaussian convolution
- approximation algorithms
- maximum likelihood estimator
- sparse approximation
- convolution kernel
- dense motion estimation
- parameter estimation
- estimation algorithm
- density estimation
- orientation estimation
- noisy data
- closed form
- image restoration