Referenz

  1. Bendat, J.S. und Piersol, A.G. 1986. Random Data: Analysis and Measurement Procedures, Second Edition. Wiley -Interscience, New York.
  2. Ingrid Daubechies. 1992. Ten Lectures On Wavelets. SIAM.
  3. James C. Schatzman, Accuracy of the discrete Fourier transform and the fast Fourier transform. SIAM J. Sci. Comput. 17 (5), 1150–1166 (1996).
  4. Julius O. Smith III und Xavier Serra. PARSHL: An Analysis/Synthesis Program for Non-Harmonic Sounds Based on a Sinusoidal Representation. Proceedings of the International Computer Music Conference (ICMC-87, Tokyo), Computer Music Association, 1987.
  5. James W. Cooley und John W. Tukey, An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19, 297–301 (1965).
  6. Kenneth R.Castleman.1996. Digital Image Processing. Prentice Hall International, Inc.
  7. Matteo Frigo und Steven G. Johnson. FFTW. http://www.fftw.org/.
  8. M. Frigo und S. G. Johnson. The Design and Implementation of FFTW3. Proceedings of the IEEE 93 (2), 216–-231 (2005).
  9. M.Greitans. 2005. Adaptive STFT-like Time-Frequency analysis from arbitrary distributed signal samples. International Workshop on Sampling Theory and Application, Samsun, Turkey.
  10. R. Tolimieri, M. An, C. Lu. Mathematics of Multidimensional Fourier Transform Algorithms, Springer-Verlag, New York, 1993.
  11. Savitzky, A. und Golay, M.J.E. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Analytical Chemistry 36(8):1627-1639, July 1964.
  12. Smith, Julius O. 2003. Mathematics of the Discrete Fourier Transform (DFT). W3K Publishing.
  13. Stéphane Mallat. 1998. A Wavelet Tour of Signal Processing. Academic Press.
  14. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest und Clifford Stein. Introduction to Algorithms, Second Edition. MIT Press and McGraw-Hill, 2001. Kapitel 30: Polynomials and the FFT, S. 822–-848.
  15. Torrence, C. und Compo, G. 1998. A practical guide to wavelet analysis, Bull. Amer. Meteor. Soc.
  16. William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling. Numerical Recipes in C: The Art of Scientific Computing. Cambridge University Press, 1992. S. 650-655.

 
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