TY - GEN
T1 - Non-Gaussian prior Fast Bayesian Matching Pursuit
AU - Masood, Mudassir
AU - Al-Naffouri, Tareq Y.
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2012/12
Y1 - 2012/12
N2 - A fast matching pursuit method (nGpFBMP) is
introduced which performs Bayesian estimates of sparse signals
even when the signal prior is non-Gaussian/unknown. It is
agnostic on signal statistics and utilizes a greedy approach and
order-recursive updates to determine the approximate MMSE
estimate of the sparse signal. Simulation results demonstrate the
power and robustness of the method.
AB - A fast matching pursuit method (nGpFBMP) is
introduced which performs Bayesian estimates of sparse signals
even when the signal prior is non-Gaussian/unknown. It is
agnostic on signal statistics and utilizes a greedy approach and
order-recursive updates to determine the approximate MMSE
estimate of the sparse signal. Simulation results demonstrate the
power and robustness of the method.
UR - http://hdl.handle.net/10754/630844
UR - http://faculty.kfupm.edu.sa/ee/naffouri/publications/nGpFBMP-STEM2012.pdf
M3 - Conference contribution
BT - 15th. Saudi Technical Exchange Meeting (STEM)
ER -