61 citations · 419 across the 59 of their papers we have counts for
3 papers · 2 filters
Typical -recovery limit of sparse vectors represented by concatenations of random orthogonal matrices
Yoshiyuki Kabashima, Mikko Vehkapera, Saikat Chatterjee
We consider the problem of recovering an -dimensional sparse vector $\vm{x}$ from its linear transformation $\vm{y}=\vm{D} \vm{x}$ of dimension. Minimizing the -…
Analysis of MMSE Estimation for Compressive Sensing of Block Sparse Signals
Mikko Vehkaperä, Saikat Chatterjee, Mikael Skoglund
Minimum mean square error (MMSE) estimation of block sparse signals from noisy linear measurements is considered. Unlike in the standard compressive sensing setup where the non-zer…
Analysis of Sparse Representations Using Bi-Orthogonal Dictionaries
Mikko Vehkaperä, Yoshiyuki Kabashima, Saikat Chatterjee +3
The sparse representation problem of recovering an N dimensional sparse vector x from M < N linear observations y = Dx given dictionary D is considered. The standard approach is to…