Reconstruction Of Sparse Signals Using Likelihood Maximization from Compressive Measurements with Gaussian And Saturation Noise.
Shuvayan BanerjeeRadhendushka SrivastavaAjit RajwadePublished in: EUSIPCO (2021)
Keyphrases
- compressive sensing
- signal reconstruction
- gaussian noise
- likelihood maximization
- signal processing
- random projections
- em algorithm
- sparse representation
- maximum likelihood
- gaussian white noise
- expectation maximization
- noise level
- image reconstruction
- zero crossing
- band limited
- signal to noise ratio
- denoising
- probabilistic model
- missing data
- image representation
- dimensionality reduction
- gaussian distribution
- noisy images
- registration errors
- multi modal