Nonasymptotic Gaussian Approximation for Inference With Stable Noise.
Marina RiabizTohid ArdeshiriIoannis KontoyiannisSimon J. GodsillPublished in: IEEE Trans. Inf. Theory (2020)
Keyphrases
- gaussian noise
- expectation propagation
- bayesian networks
- noise model
- series expansion
- linear computational complexity
- statistically independent
- approximation algorithms
- maximum likelihood
- inference process
- gaussian convolution
- random noise
- noise level
- poisson distribution
- noisy data
- impulse response
- gaussian filter
- approximation error
- denoising
- missing data
- gaussian mixture model
- gaussian distribution
- median filter
- signal to noise ratio
- taylor series expansion
- additive noise
- closed form
- error bounds
- gaussian process
- bayesian inference
- polynomial approximation
- belief networks
- probabilistic inference
- image structure
- partition function
- noise free
- image noise
- gaussian mixture
- noise removal
- approximate inference