Analysis and simulation of strong earthquake ground motions using ARMA models
Automatica (Journal of IFAC)
Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Computing in Science and Engineering
Automatic segmentation and labeling of speech
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
Brief paper: Segmentation of ARX-models using sum-of-norms regularization
Automatica (Journal of IFAC)
Kernel design for reduced interference distributions
IEEE Transactions on Signal Processing
Detecting change in a time-series (Corresp.)
IEEE Transactions on Information Theory
Entropy-based algorithms for best basis selection
IEEE Transactions on Information Theory - Part 2
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
Automatic change detection of driving environments in a vision-based driver assistance system
IEEE Transactions on Neural Networks
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The change detection and segmentation methods have gained considerable attention in scientific research and appear to be the central issue in various application areas. The objective of the paper is to present a segmentation method, based on maximum a posteriori probability (MAP) estimator, with application in seismic signal processing; some interpretations and connections with other approaches in change detection and segmentation, as well as computational aspects in this field are also discussed. The experimental results obtained by Monte Carlo simulations for signal segmentation using different signal models, including models with changes in the mean, in FIR, AR and ARX model parameters, as well as comparisons with other methods, are presented and the effectiveness of the proposed approach is proved. Finally, we discuss an application of segmentation in the analysis of the earthquake records during the Kocaeli seism, Turkey, August 1999, Arcelik station (ARC). The optimal segmentation results are compared with time-frequency analysis, for the reduced interference distribution (RID). The analysis results confirm the efficiency of the segmentation approach used, the change instants resulted by MAP appearing clear in energy and frequency contents of time-frequency distribution.