Wavelet-scalogram based study of non-periodicity in speech signals as a complementary measure of chaotic content-Reference-Cited by-同舟云学术

Wavelet-scalogram based study of non-periodicity in speech signals as a complementary measure of chaotic content

Published:2013-02-02 Issue:3 Volume:16 Page:353-361
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Hesham M.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

http://link.springer.com/content/pdf/10.1007/s10772-013-9187-3.pdf

Reference29 articles.

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3. Benítez, R., Bolós, V. J., & Ramírez, M. E. (2010). A wavelet-based tool for studying non-periodicity. Computers and Mathematics with Applications, 60(3), 634–641.

4. Cantón, E. C., & Murguía, J. S. (2006). Wavelet analysis of chaotic time series. Revista Mexicana de Física, 52(2), 155–162.

5. Chavan, M. S., Mastorakis, N., Chavan, M. N., & Gaikwad, M. S. (2011). Implementation of SYMLET wavelets to removal of Gaussian additive noise from speech signal. In Proceeding of 10th WSEAS international conference on signal processing, robotics and automation, Wisconsin, USA (pp. 37–41).

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