Abstract
We present here a new solution for the problem of periodic time—frequency—localized signal analysis. Working on polynomials with Fourier coefficients included in bands similar to octaves, we can vary the actual position and length of those bands and also the localization of the bases in the time domain by the choice of parameters. Having simple, fast and numerically stable algorithms, this concept can be easily applied to various practical tasks.
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© 1995 Springer Science+Business Media Dordrecht
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Selig, K. (1995). Trigonometric Wavelets for Time-Frequency-Analysis. In: Singh, S.P. (eds) Approximation Theory, Wavelets and Applications. NATO Science Series, vol 454. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8577-4_30
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DOI: https://doi.org/10.1007/978-94-015-8577-4_30
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4516-4
Online ISBN: 978-94-015-8577-4
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