A new procedure to identify linear and quadratic regression models based on signal-to-noise-ratio indicators.
Mordechai ShachamNeima BraunerHaim ShorePublished in: Math. Comput. Model. (2007)
Keyphrases
- signal to noise ratio
- regression model
- linear model
- noise reduction
- generalized linear
- regression analysis
- regression methods
- generalized linear models
- gaussian noise
- regression trees
- model selection
- multivariate regression
- matched filter
- minimum mean square error
- spatial filtering
- regression method
- edge detection
- explanatory variables
- root mean square error
- speech enhancement
- bit error rate
- interval valued data
- target variable
- neural network
- noisy images
- image processing