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Part of the book series: Operator Theory: Advances and Applications ((OT,volume 205))

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Abstract

The short-time Fourier transform has an easily defined time-domain counterpart: a set of windowed time series, each one corresponding to a specific window position. Considered collectively, these constitute a time-time distribution, since the window position gives a second time variable. Multiresolution time-time distributions can also be defined. The only such distribution that has been investigated thus far, the TT-transform, is the time-domain counterpart of a continuous wavelet transform. In this short paper, we describe a new method of calculating time-time distributions for discrete wavelet transforms, and present two examples.

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References

  1. L. Cohen, Time-Frequency Analysis, Prentice-Hall, 1995.

    Google Scholar 

  2. X. Fan and M. J. Zuo, Gearbox fault detection using Hilbert and TT-transform, Key Engineering Materials 293–294 (2005), 79–86.

    Article  Google Scholar 

  3. P. C. Gibson, M. P. Lamoureux and G. F. Margrave, Letter to the editor: Stockwell and wavelet transforms. J. Fourier Anal. Appl. 12 (2006) 713–721.

    Article  MATH  MathSciNet  Google Scholar 

  4. K. Gröchenig, Foundations of Time-Frequency Analysis, Birkhäuser, 2001.

    Google Scholar 

  5. S. Mallat, A Wavelet Tour of Signal Processing, Second Edition, Academic Press, 1999.

    Google Scholar 

  6. C. R. Pinnegar, Time-frequency and time-time filtering with the S-transform and TT-transform, Dig. Signal Process 15 (2005), 604–620.

    Article  Google Scholar 

  7. C. R. Pinnegar and L. Mansinha, A method of time-time analysis: The TT-transform, Dig. Signal Process. 13 (2003) 588–603.

    Article  Google Scholar 

  8. C. R. Pinnegar, M. W. Wong, and H. Zhu, Integral representations of the TT-transform, App. Anal. 85 (2006) 933–940.

    Article  MATH  MathSciNet  Google Scholar 

  9. R. G. Stockwell, L. Mansinha, and R. P. Lowe, Localization of the complex spectrum: The S-transform, IEEE Trans. Signal Process. 44 (1996) 998–1001.

    Article  Google Scholar 

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© 2009 Birkhäuser Verlag Basel/Switzerland

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Pinnegar, C.R., Khosravani, H., Federico, P. (2009). Time-Time Distributions for Discrete Wavelet Transforms. In: Schulze, BW., Wong, M.W. (eds) Pseudo-Differential Operators: Complex Analysis and Partial Differential Equations. Operator Theory: Advances and Applications, vol 205. Birkhäuser Basel. https://doi.org/10.1007/978-3-0346-0198-6_16

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