Snapshot compressive imaging (SCI) systems have gained significant atten...
Adaptive filtering is a well-known problem with a wide range of applicat...
The problem of recovering a structured signal from its linear measuremen...
We show that a collection of Gaussian mixture models (GMMs) in R^n can b...
Denoising stationary process (X_i)_i ∈ Z corrupted by additive white
Gau...
Compressed sensing algorithms recover a signal from its under-determined...
Snapshot compressed sensing (CS) refers to compressive imaging systems w...
Quantized maximum a posteriori (Q-MAP) is a recently-proposed Bayesian
c...
Clustering mixtures of Gaussian distributions is a fundamental and
chall...
Compressive phase retrieval is the problem of recovering a structured ve...