78 citations · 149 across the 17 of their papers we have counts for
4 papers · 1 filter
On the Compressed Measurements over Finite Fields: Sparse or Dense Sampling
Jin-Taek Seong, Heung-No Lee
We consider compressed sampling over finite fields and investigate the number of compressed measurements needed for successful L0 recovery. Our results are obtained while the spars…
Detection-Directed Sparse Estimation using Bayesian Hypothesis Test and Belief Propagation
Jaewook Kang, Heung-No Lee, Kiseon Kim
In this paper, we propose a sparse recovery algorithm called detection-directed (DD) sparse estimation using Bayesian hypothesis test (BHT) and belief propagation (BP). In this fra…
Bayesian Hypothesis Test for Sparse Support Recovery using Belief Propagation
Jaewook Kang, Heung-No Lee, Kiseon Kim
In this paper, we introduce a new support recovery algorithm from noisy measurements called Bayesian hypothesis test via belief propagation (BHT-BP). BHT-BP focuses on sparse suppo…
On Detection-Directed Estimation Approach for Noisy Compressive Sensing
Jaewook Kang, Heung-No Lee, Kiseon Kim
In this paper, we investigate a Bayesian sparse reconstruction algorithm called compressive sensing via Bayesian support detection (CS-BSD). This algorithm is quite robust against…