978-3-031-47104-9.pdf
This book serves as a tutorial that explains how different state estimators (Bayesian filters) can be built when all or part of the observations are binary. The book begins by briefly motivating the need for point process state estimation followed by an introduction to the overall approach, as well...
| Language: | English |
|---|---|
| Published: |
Springer Nature
2024
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| Online Access: | https://link.springer.com/978-3-031-47104-9 |
