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Time-delay estimation for compound point-processes using hidden Markov models
Citation Link: https://doi.org/10.15480/882.2454
Publikationstyp
Conference Paper
Date Issued
1996-05
Sprache
English
Institut
TORE-DOI
TORE-URI
Start Page
2817
End Page
2820
Citation
IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, Atlanta, GA, USA: 2817-2820 (1996-05),
Contribution to Conference
Publisher DOI
Publisher
IEEE
A new time-delay estimation algorithm for compound point-processes is presented. Compound point-processes, a generalization of temporal point-processes, describe processes with discrete events, where each occurrence time is associated with certain features. It is shown that, although the events are not observable, the time delays from events at one location to the same events at a second location can be estimated using hidden Markov models based on the associated features. We demonstrate the performance of this time-delay estimation algorithm with an application to the estimation of section-related traffic data in road traffic monitoring and control systems.
Subjects
hidden Markov models
traffic control
road vehicles
delay effects
control systems
signal processing
DDC Class
600: Technik
620: Ingenieurwissenschaften
Publication version
acceptedVersion
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Name
Wohlers, Mertins et al. - Time-delay estimation for compound point-processes.pdf
Size
1.56 MB
Format
Adobe PDF