Lesson 2 The Linear Model

Summary

The main purpose of this lesson is to introduce a generic model that is linear in the unknown parameters, z(k) = H(k)θ + V(k). In this model, which we refer to as a generic linear model, vector θ contains the unknown deterministic or random parameters that will be estimated using one or more of this book’s techniques. Examples are given which demonstrate how to obtain a generic linear model for real problems.

Some estimation notation is also introduced: Image denotes an estimate of x and Image denotes the error in estimation, ...

Get Lessons in Estimation Theory for Signal Processing, Communications, and Control, Second Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.