@inproceedings{alarcon-aquino_v_adaptive_2003,
	address = {Buenos Aires},
	title = {Adaptive {Sequential} {Segmentation} of {Non}-stationary {Signals} {Using} {Wavelet} {Transforms}},
	abstract = {The problem of adaptive segmentation of time series with abrupt and smooth changes in the spectral characteristics is addressed. In this paper, an algorithm for adaptive sequential segmentation of time series is proposed based on the maximal overlap discrete wavelet transform and Bayesian analysis. The proposed algorithm is evaluated using synthetic data. The results demonstrate the good detection properties of the proposed algorithm when compared with previous reported algorithms.},
	author = {Alarcon-Aquino. V., L.G., Takahashi, Y, Guerrero},
	year = {2003},
}

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