DocumentCode
1802032
Title
Greedy adaptive measurements with signal and measurement noise
Author
Entao Liu ; Chong, Edwin K. P. ; Scharf, Louis L.
Author_Institution
Viterbi Sch. of Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear
2012
fDate
4-7 Nov. 2012
Firstpage
1229
Lastpage
1232
Abstract
We examine greedy adaptive measurement policies in the context of a linear Gaussian measurement model with an information-based optimization criterion. We provide sufficient conditions under which the greedy policy is optimal in the sense of maximizing the net information gain. We also discuss an example where the greedy policy is not optimal.
Keywords
Gaussian noise; adaptive signal processing; greedy algorithms; noise measurement; optimisation; greedy adaptive measurement policy; information-based optimization criterion; linear Gaussian measurement model; measurement noise; net information gain; signal noise; compressed sensing; compressive sensing; entropy; greedy policy; information gain; optimal policy;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA
ISSN
1058-6393
Print_ISBN
978-1-4673-5050-1
Type
conf
DOI
10.1109/ACSSC.2012.6489218
Filename
6489218
Link To Document