62 citations · 350 across the 33 of their papers we have counts for
6 papers · 1 filter
Online Decomposition of Compressive Streaming Data Using - Cluster-Weighted Minimization
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer +1
We consider a decomposition method for compressive streaming data in the context of online compressive Robust Principle Component Analysis (RPCA). The proposed decomposition solves…
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler +2
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separa…
Measurement Bounds for Sparse Signal Reconstruction with Multiple Side Information
Huynh Van Luong, Jurgen Seiler, Andre Kaup +2
In the context of compressed sensing (CS), this paper considers the problem of reconstructing sparse signals with the aid of other given correlated sources as multiple side informa…
Binary Rate Distortion With Side Information: The Asymmetric Correlation Channel Case
Andrei Sechelea, Samuel Cheng, Adrian Munteanu +1
Advancing over up-to-date information theoretic results that assume symmetric correlation models, in this work we consider the problem of lossy binary source coding with side infor…
Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
We address the problem of Compressed Sensing (CS) with side information. Namely, when reconstructing a target CS signal, we assume access to a similar signal. This additional knowl…
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds
Joao F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
We address the problem of compressed sensing (CS) with prior information: reconstruct a target CS signal with the aid of a similar signal that is known beforehand, our prior inform…