Lecture

Recursive Least Squares

In course

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Description

This lecture covers the Recursive Least Squares (RLS) algorithm, focusing on updating estimates of parameters in a linear regression model. It explains the RLS method, observation equations, gain matrix, and correlated RSL-2. The instructor discusses the design matrix, conflict resolution, and the iterative nature of the algorithm.

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Instructor

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Official source

https://mediaspace.epfl.ch/media/0_v3k8z25w

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Ontological neighbourhood

Statistics

Data analysis: Regression analysis

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