On the public citation graph

Comparison Of Kalman's Estimator With The Polynomial Least-Squares Multiple-Model

0 signed · 6 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471224197openalex-snapshot
Tracking and Kalman Filtering Made Easy
inferredcites →https://doi.org/10.1007/s42452-020-03439-xopenalex-snapshot
Polynomial least squares multiple-model estimation: simple, optimal, adaptive, practical
inferredcites →https://doi.org/10.1049/cp.2012.1742openalex-snapshot
Simple disambiguation of orthogonal projection in Kalman's filter derivation
inferredcites →https://doi.org/10.1049/iet-rsn.2011.0373openalex-snapshot
Simple Kalman filter alternative: the multi‐fractional order estimator
inferredcites →https://doi.org/10.1109/7.481286openalex-snapshot
Tracking maneuvering targets with multiple sensors: does more data always mean better estimates?
inferredcites →https://doi.org/10.7208/chicago/9780226458106.001.0001openalex-snapshot
The Structure of Scientific Revolutions
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.