Abstract
This paper starts with a brief discussion of so-called wavelet transforms, i.e., decompositions of arbitrary signals into localized contributions labelled by a scale parameter. The main features of the method are first illustrated through simple mathematical examples. Then we present the first applications of the method to the recognition and visualisation of characteristic features of speech and of musical sounds.
Dates
Type | When |
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Created | 20 years, 8 months ago (Nov. 28, 2004, 4:14 p.m.) |
Deposited | 6 years ago (Aug. 7, 2019, 6:40 a.m.) |
Indexed | 3 weeks ago (Aug. 6, 2025, 8:44 a.m.) |
Issued | 38 years ago (Aug. 1, 1987) |
Published | 38 years ago (Aug. 1, 1987) |
Published Online | 13 years, 7 months ago (Jan. 25, 2012) |
Published Print | 38 years ago (Aug. 1, 1987) |
@article{KRONLAND_MARTINET_1987, title={ANALYSIS OF SOUND PATTERNS THROUGH WAVELET TRANSFORMS}, volume={01}, ISSN={1793-6381}, url={http://dx.doi.org/10.1142/s0218001487000205}, DOI={10.1142/s0218001487000205}, number={02}, journal={International Journal of Pattern Recognition and Artificial Intelligence}, publisher={World Scientific Pub Co Pte Lt}, author={KRONLAND-MARTINET, R. and MORLET, J. and GROSSMANN, A.}, year={1987}, month=aug, pages={273–302} }