Damped Chirp Mixture Estimation Via Nonlinear Bayesian Regression.
Julian NeriPhilippe DepalleRoland BadeauPublished in: DAFx (2021)
Keyphrases
- sparse bayesian learning
- simple linear
- bayesian estimation
- nonlinear regression
- nonparametric regression
- relevance vector machine
- gaussian processes
- fourier transform
- regression model
- estimation problems
- mixture model
- linear regression
- parameter estimation
- locally linear
- semi parametric
- ordinary least squares
- regression algorithm
- robust regression
- frequency domain
- model selection
- generalized em algorithm
- instantaneous frequency
- fractional fourier transform
- model averaging
- neural network
- markov random field prior
- source separation
- regression method
- space variant
- bayesian learning
- posterior distribution
- posterior probability
- support vector
- bayesian networks