Statistical change detection using nonlinear models

B. Eugene Parker, H. Vincent Poor, Edward C. Larson, Thomas A. Hamilton, James P. Frankel

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Statistical changes are manifested by the appearance of energy at certain known frequency triplets in the bispectral domain. This problem is motivated by the interest in monitoring machinery components for the purpose of detecting defects. Several spectral and bispectral detectors are discussed and tested, which the benefits of the latter over the former are demonstrated.

Original languageEnglish (US)
Pages (from-to)319-324
Number of pages6
JournalProceedings - National Conference on Noise Control Engineering
Volume1
StatePublished - Dec 1 1997
Externally publishedYes
EventProceedings of the 1997 National Conference on Noise Control Engineering , NOISE-CON. Part 2 (of 2) - University Park, PA, USA
Duration: Jun 15 1997Jun 17 1997

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

Fingerprint

Dive into the research topics of 'Statistical change detection using nonlinear models'. Together they form a unique fingerprint.

Cite this