DocumentCode
1700545
Title
Remarks on filtering error due to quantisation of a 2-state hidden Markov model
Author
Shue, Louis ; Dey, Subhrakanti ; Anderson, Brian D O ; Bruyne, Franky De
Author_Institution
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Volume
4
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
4123
Abstract
This paper considers the problem of quantisation from the perspective of minimising filtering error when quantised instead of continuous measurements are used as inputs to the nonlinear filter, specialising to a discrete-time 2-state hidden Markov model (HMM) with continuous output
Keywords
filtering theory; hidden Markov models; nonlinear filters; optimisation; quantisation (signal); roundoff errors; 2-state hidden Markov model quantisation; continuous output; discrete-time 2-state HMM; filtering error minimisation; nonlinear filter; Australia; Data engineering; Degradation; Filtering; Hidden Markov models; Noise level; Nonlinear distortion; Nonlinear filters; Quantization; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location
Phoenix, AZ
ISSN
0191-2216
Print_ISBN
0-7803-5250-5
Type
conf
DOI
10.1109/CDC.1999.828007
Filename
828007
Link To Document