Bayesian deconvolution of noisy filtered point processes
The detection and estimation of filtered point processes using noisy data is an essential requirement in many seismic, ultrasonic, and nuclear applications. In this paper, we address this joint detection/estimation problem using a Bayesian approach, which allows us to easily include any relevant pri...
| Autori principali: | , , |
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| Natura: | Journal article |
| Lingua: | English |
| Pubblicazione: |
IEEE
2001
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