Signal segmentation using changing regression models with application in seismic engineering
We present a method for optimal segmentation with application in seismic signal processing. Some interpretations and connections with other approaches and computational aspects are discussed. The case studies and comparisons in simulation confirm the efficiency of the proposed approach. The segmentation results in seismic signal analysis are compared with the timefrequency analysis. The approach could provide new physical insight into seismic waves propagation and soil properties.
seismic signal processing change detection data segmentation map estimator monte carlo simulation