I wrote a few papers on Kalman Filtering as a functional fold in the Wolfram Language. I am unsure whether, where, or how to submit them to the community for further consideration or publication. I’d be grateful for advice.
I am Brian Beckman, ex-NASA, ex-Microsoft, ex-Amazon. My professional bona fides are on LinkedIn here https://www.linkedin.com/in/brianbeckman/.
The work in these papers is original and novel. The unique utility of these methods is testability, composability, and reliability. The filters are compared against published results for performance. The papers are posted online in GitHub kalman-folding/plan-for-papers.org at master · rebcabin/kalman-folding · GitHub and at Vixra:
Authors: Brian Beckman
Category: Data Structures and Algorithms
[1] viXra:1606.0328 submitted on 2016-06-29 14:21:33, (4552 unique-IP downloads)
Kalman Folding, Part 1 (Review Draft)
[2] viXra:1606.0348 replaced on 2016-07-06 16:57:41, (1234 unique-IP downloads)
Kalman Folding 2: Tracking and System Dynamics
[3] viXra:1607.0059 replaced on 2016-07-06 11:01:24, (699 unique-IP downloads)
Kalman Folding 3: Derivations
[4] viXra:1607.0083 submitted on 2016-07-07 09:52:55, (716 unique-IP downloads)
Kalman Folding 7: A Small Streams Library
[5] viXra:1607.0084 submitted on 2016-07-07 09:50:50, (738 unique-IP downloads)
Kalman Folding 5: Non-Linear Models and the EKF
[6] viXra:1607.0141 submitted on 2016-07-10 15:52:42, (744 unique-IP downloads)
Kalman Folding 4: Streams and Observables
[7] viXra:1609.0044 submitted on 2016-09-03 16:15:57, (427 unique-IP downloads)
Kalman Folding 1.5: Running Statistics
[8] viXra:1712.0587 submitted on 2017-12-23 16:09:27, (760 unique-IP downloads)
Kalman Folding 5.5: EKF in Python with System Identification