Referenced Items are not available for this document.
Studies the a posteriori probability density function of the state of a discrete-time system. By applying the Bayesian law to the state and measurement equations of the stochastic system, the a posteriori density is obtained in closed-form and computed recursively for arbitrary i.i.d. state noise and binary measurement noise (or signal). As an example, the highly impulsive state process driven by the noise with α-stable distribution is estimated and significantly suppressed from the measurement
Published in:
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Date of Conference: 1-3 Nov 1993
- Page(s):
- 228 - 232 vol.1
- Meeting Date :
- 01 Nov 1993-03 Nov 1993
- ISSN :
- 1058-6393
- Print ISBN:
- 0-8186-4120-7
- INSPEC Accession Number:
- 4846229
- Conference Location :
- Pacific Grove, CA
- Digital Object Identifier :
- 10.1109/ACSSC.1993.342506
- Product Type:
- Conference Publications
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