4 search results - page 1 / 1 » Monitoring process transitions by Kalman filtering and time-... |
CCE
2005
13 years 4 months ago
2005
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
IPSN
2004
Springer
13 years 10 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
CRV
2006
IEEE
13 years 6 months ago
2006
IEEE
- This paper concerns the autonomous tracking of fish using a Remotely Operated Vehicle (ROV) equipped with a single camera. An efficient image processing algorithm is presented th...