References
- Blackledge J. M. (2003). Digital Signal Processing, Horwood Publishing, Chichester, West Sussex, England.
- Bloomfield P. (2000). Fourier Analysis of Time Series: An Introduction, Wiley, New York.
- Braun W. J., Kulperger R. J. (1997). Properties of a Fourier Bootstrap Method for Time Series, Communications in Statistics - Theory and Methods, 26(6), 1329-1335.
- Bremaud P. (2002). Mathematical Principles of Signal Processing: Fourier and Wavelet Analysis, Springer Verlag Inc., New York.
- Brillinger D. R. (1975). Time Series - Data Analysis and Theory, Holt, Rinehart and Winston Inc., New York.
- Cooley J. W. and Tukey J. W. (1965). An Algorithm for the Machine Calculation of Complex Fourier Series, Mathematics of Computation, 19, 297-301.
- Gasquet C., Witomski P. (1999). Fourier Analysis and Applications - Filtering, Numerical Computation, Wavelets, Springer Verlag Inc., New York.
- Hansen P. Ch., Nagy J. G., O'Leary D. P. (2006). Deblurring Images, Matrices, Spectra and Filtering, SIAM, Philadelphia.
- Hayes M., Lim J., Oppenheim A. (1980). Signal Reconstruction from Phase or Magnitude, IEEE Transactions on Acoustics Speech and Signal Processing, ASSP-28(6), pp. 672-680.
- Hoggar S. D. (2006). Mathematics of Digital Images - Creation, Compression, Restoration, Recognition, Cambridge University Press, Cambridge.
- Johnson N. L., Kotz S., Balakrishnan N. (1994). Continuous Univariate Distributions, Vol. 1-2, John Wiley & Sons, New York.
- Koopmans L. H. (1974). The Spectral Analysis of Time Series, Academic Press, New York.
- Mammen E. and Nandi S. (2008). Some Theoretical Properties of Phase-Randomized Multivariate Surrogates, Statistics, 42(3), 195-205.
- Ni X. and Huo X. (2007). Statistical Interpretation of the Importance of Phase Information in Signal and Image Reconstruction, Statistics and Probability Letters, 77(4), 447-454.
- Oppenheim A. V., Lim J. S. (1981). The Importance of Phase in Signals, Proceedings of the IEEE, 69(5), 529-541.
- Popiński W. (1997). On Consistency of Discrete Fourier Analysis of Noisy Time Series, Artificial Satellites - Journal of Planetary Geodesy, 32(3), 131-142.
- Popiński W. (2008). Insight into the Fourier Transform Band Pass Filtering Technique, Artificial Satellites - Journal of Planetary Geodesy, 43(4), 129-141.
- Popiński W. (2010). On Discrete Fourier Spectrum of Randomly Modulated Signals, Artificial Satellites - Journal of Planetary Geodesy, 45(3), 143-152.
- Press W. H., Flannery B. P., Teukolsky S. A., and Vetterling W. T. (1992). Numerical Recipes - The Art of Scientific Computing, Cambridge University Press, Cambridge.
- Schreiber T., Schmitz A. (2000). Surrogate Time Series, Physica D, 142(3-4), 346-382.
- Singleton R. C. (1969). An Algorithm for Computing the Mixed Radix Fast Fourier Transform, IEEE Transactiions on Audio and Electroacoustics, AU-17(2), 93-103.