DocumentCode
284947
Title
Distributed filtering without knowledge of noise distribution
Author
Hong, Lang
Author_Institution
Dept. of Electr. Eng., Wright State Univ., Dayton, OH, USA
Volume
4
fYear
1992
fDate
23-26 Mar 1992
Firstpage
469
Abstract
An algorithm of distributed filtering using set models with confidence values is derived. No knowledge of the noise distribution is needed. The only information required is the set with confidence values from which the modeling and measurement errors and the initial values are obtained. Therefore, the algorithm has great potential for real-world applications
Keywords
filtering and prediction theory; set theory; algorithm; confidence values; distributed filtering; measurement errors; modeling errors; set models; Distributed algorithms; Filtering algorithms; Filters; Measurement errors; Smoothing methods; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226334
Filename
226334
Link To Document