Mathematics & statistics
Dynamic data processing: Recursive least-squares
Peter J. G. Teunissen
TU Delft OPEN Publishing · Second edition (2024) · English · Published 2024
Recursive least-squares estimation, state-space models, Kalman filtering, prediction and smoothing for time-varying data.
- Learning stage
- Advanced college
- Prerequisites
- Linear algebra, probability, adjustment theory and calculus.
- PDF pages
- 253 in this file
- Editorial review
- 2026-10-29
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Author, publisher, and discovery sources
Authors: Peter J. G. Teunissen
Publisher: TU Delft OPEN Publishing
- Discovered through Open Textbook Library: Source record · Checked 2026-10-29
- Discovered through Open Textbook Library: Source record · Checked 2026-10-25
CC BY 4.0
Peter J. G. Teunissen. Dynamic data processing: Recursive least-squares. TU Delft OPEN Publishing. Second edition (2024). CC BY 4.0.
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Checked 2026-10-29