TY - GEN
T1 - Signal denoising on graphs via graph filtering
AU - Chen, Siheng
AU - Sandryhaila, Aliaksei
AU - Moura, Jose M.F.
AU - Kovacevic, Jelena
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/5
Y1 - 2014/2/5
N2 - Signal recovery from noisy measurements is an important task that arises in many areas of signal processing. In this paper, we consider this problem for signals represented with graphs using a recently developed framework of discrete signal processing on graphs. We formulate graph signal denoising as an optimization problem and derive an exact closed-form solution expressed by an inverse graph filter, as well as an approximate iterative solution expressed by a standard graph filter. We evaluate the obtained algorithms by applying them to measurement denoising for temperature sensors and opinion combination for multiple experts.
AB - Signal recovery from noisy measurements is an important task that arises in many areas of signal processing. In this paper, we consider this problem for signals represented with graphs using a recently developed framework of discrete signal processing on graphs. We formulate graph signal denoising as an optimization problem and derive an exact closed-form solution expressed by an inverse graph filter, as well as an approximate iterative solution expressed by a standard graph filter. We evaluate the obtained algorithms by applying them to measurement denoising for temperature sensors and opinion combination for multiple experts.
UR - http://www.scopus.com/inward/record.url?scp=84949926424&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949926424&partnerID=8YFLogxK
U2 - 10.1109/GlobalSIP.2014.7032244
DO - 10.1109/GlobalSIP.2014.7032244
M3 - Conference contribution
AN - SCOPUS:84949926424
T3 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
SP - 872
EP - 876
BT - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Y2 - 3 December 2014 through 5 December 2014
ER -