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
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;
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4673-5050-1
DOI :
10.1109/ACSSC.2012.6489218
