Wavelet-based dynamic time warping

6Citations
Citations of this article
20Readers
Mendeley users who have this article in their library.

Abstract

Dynamic Time Warping (DTW), a pattern matching technique traditionally used for restricted vocabulary speech recognition, is based on a temporal alignment of the input signal with the template models. The principal drawback of DTW is its high computational cost as the lengths of the signals increase. This paper shows extended results over our previously published conference paper, which introduces an optimized version of the DTW that is based on the Discrete Wavelet Transform (DWT). © 2008 Elsevier B.V. All rights reserved.

Cite

CITATION STYLE

APA

Barbon, S., Guido, R. C., Vieira, L. S., Silva Fonseca, E., Sanchez, F. L., Scalassara, P. R., … Chen, S. H. (2009). Wavelet-based dynamic time warping. Journal of Computational and Applied Mathematics, 227(2), 271–287. https://doi.org/10.1016/j.cam.2008.03.015

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free