Detection of Changes in the Spectrum of a Multidimensional Process

Marc Lavielle

Research output: Contribution to journalArticlepeer-review

Abstract

We present an algorithm for the sequential detection of changes in the spectrum of a multidimensional process. We investigate the asymptotic properties of the statistic that we use in the case of a real Gaussian process. The algorithm of detection is based on a sequential likelihood-ratio test. Simulations show the very good behavior of the algorithm in the case of Gaussian and non-Gaussian processes. In both cases, changes are detected with good accuracy, while the number of false alarms is small.

Original languageEnglish
Pages (from-to)742-749
Number of pages8
JournalIEEE Transactions on Signal Processing
Volume41
Issue number2
DOIs
Publication statusPublished - 1 Jan 1993
Externally publishedYes

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