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arXiv.org e-Print Archive
Preprint . 2024
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ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 24 Jan 2024Publisher:ZenodoJournal:CoRR, volume abs/2401.14429
Authors: Josue Casco-Rodriguez; Caleb Kemere; Richard G. Baraniuk;

doi: 10.5281/zenodo.15172013 , 10.5281/zenodo.15172014

arXiv: 2401.14429

[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models

Abstract

Replication

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Keywords

python, Computer Science - Machine Learning, Computer Science - Robotics, matlab, Statistics - Machine Learning, rescience c, brain-computer interface, neuroengineering, kalman filter, Electrical Engineering and Systems Science - Signal Processing, signal processing, computational neuroscience

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities
Neuroscience