DocumentCode
290772
Title
Fault-tolerant integration of abstract sensor estimates using multiresolution decomposition
Author
Prasad, L. ; Iyengar, S.S. ; Rao, R. ; Kashyap, R.L.
Author_Institution
Dept. of Comput. Sci., Louisiana State Univ., Baton Rouge, LA, USA
fYear
1993
fDate
17-20 Oct 1993
Firstpage
171
Abstract
This paper proposes a method of applying the idea of multiresolution to the problem of fault-tolerant integration of abstract sensor estimates when the number of sensors is very large and a large number of sensor faults are tame. We give an optimal O(N log N) algorithm, where N is the total number of sensors, which implements this idea efficiently
Keywords
image processing; image recognition; prediction theory; sensor fusion; abstract sensor estimates; fault-tolerant integration; image decomposition; multiresolution decomposition; overlap function; sensor cluster estimation; Bandwidth; Computer science; Fault tolerance; Frequency; Image decomposition; Image resolution; Robustness; Sensor phenomena and characterization; Signal resolution; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
Conference_Location
Le Touquet
Print_ISBN
0-7803-0911-1
Type
conf
DOI
10.1109/ICSMC.1993.390844
Filename
390844
Link To Document