Global Sampling for Sequential Filtering over Discrete State Space
<p/> <p>In many situations, there is a need to approximate a sequence of probability measures over a growing product of finite spaces. Whereas it is in general possible to determine analytic expressions for these probability measures, the number of computations needed to evaluate these q...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2004-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S1110865704407173 |