Detection of Abrupt Changes: Theory and Application
Michele Basseville, Igor V. Nikiforov
Presents the newest mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems, and monitoring. The authors cover 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 algorithms, and real-world applications.
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