Often considered as separate subjects Adaptive Filtering and Change Detection bridges a gap in the literature with a unified treatment of these areas, emphasizing that change detection is a natural extension of adaptive filters, and adaptive filters are the basic building blocks in all change detectors.
By providing a timely and innovative resource, applied engineers, researchers and postgraduate students studying DSP will all find this an indispensable and enlightening read!
∗ Presents a comprehensive and complete treatment of adapative filtering
∗ Provides a unifying framework for the theory of change detection based on a filtering approach
∗ Combines mathematical tools (algebra, calculus, statistics) and applications areas (airborne, automotive, communication systems, standard signal processing and automatic control applications)
∗ Features extensive examples and case studies which can be reproduced and investigated in an accompanying Matlab demo toolbox.
Change Detection Based on Sliding Windows
Change Detection Based on Filter Banks
Change Detection Based on Likelihood Ratios
Change Detection Based on Multiple Models
Change Detection Based on Algebraical Consistency Tests
A. Signal models and notation
B. Fault detection terminology