Detection of Abrupt Changes: Theory and Application
by Michele Basseville, Igor V. Nikiforov
Publisher: Prentice-Hall 1993
Number of pages: 469
This book presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book covers a wide class of stochastic processes, from scalar independent observations to multidimensional dependent ARMA and state-space models, the properties of the algorithms for statistical change detection, tuning and optimizing change detection in real-world applications. The book is intended for engineers and researchers involved in signal processing, and others.
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by Jeff Fessler - University of Michigan
Course objectives: 1. to teach students the concepts of discrete-time signals, including mathematical representations; 2. to teach students the concepts of linear time-invariant discrete-time systems; 3. to introduce the concepts of filter design.
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