TY - GEN
T1 - Doǧrusal olmayan sistemlerdeki algilama belirsizliǧinin parçacik süzgeçler ile azaltilmasi
AU - Bayram, Halûk
AU - Ertüzün, Ayşin
AU - Bozma, H. Işil
PY - 2006/12/1
Y1 - 2006/12/1
N2 - In signal processing and control applications, on-line state estimation plays important role in stability of the system. In cases where state and/or measurement functions are highly nonlinear and/or the noise is not Gaussian, conventional filters such as extended Kalman filters do not provide satisfactory results. In this paper, particle filters and its application to a nonlinear problem are examined.
AB - In signal processing and control applications, on-line state estimation plays important role in stability of the system. In cases where state and/or measurement functions are highly nonlinear and/or the noise is not Gaussian, conventional filters such as extended Kalman filters do not provide satisfactory results. In this paper, particle filters and its application to a nonlinear problem are examined.
UR - http://www.scopus.com/inward/record.url?scp=34247176247&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34247176247&partnerID=8YFLogxK
U2 - 10.1109/SIU.2006.1659715
DO - 10.1109/SIU.2006.1659715
M3 - Conference contribution
AN - SCOPUS:34247176247
SN - 1424402395
SN - 9781424402397
T3 - 2006 IEEE 14th Signal Processing and Communications Applications Conference
BT - 2006 IEEE 14th Signal Processing and Communications Applications Conference
T2 - 2006 IEEE 14th Signal Processing and Communications Applications
Y2 - 17 April 2006 through 19 April 2006
ER -