Enhanced Frequency Resolution in Data Analysis

Abstract

We present a numerical study of the resolution power of Padé Approximations to the Z-transform, compared to the Fourier transform. As signals are represented as isolated poles of the Padé Approximant to the Z-transform, resolution depends on the relative position of signal poles in the complex plane i.e. not only the difference in frequency (separation in angular position) but also the difference in the decay constant (separation in radial position) contributes to the resolution. The frequency resolution increase reported by other authors is therefore an upper limit: in the case of signals with different decay rates frequency resolution can be further increased.

Share and Cite:

L. Perotti, D. Vrinceanu and D. Bessis, "Enhanced Frequency Resolution in Data Analysis," American Journal of Computational Mathematics, Vol. 3 No. 3, 2013, pp. 242-251. doi: 10.4236/ajcm.2013.33034.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] P. Barone and R. March, “On the Super-Resolution Properties of Prony’s Method,” ZAMM: Zeitschrift Fur Angewandte Mathematik Und Mechanik, Vol. 76, Suppl. 2, 1996, pp. 177-180.
[2] P. Barone and R. March, “Some Properties of the Asymptotic Location of Poles of Pade Approximants to Noisy Rational Functions, Relevant for Modal Analysis,” IEEE Transactions on Signal Processing, Vol. 46, No. 9, 1998, pp. 2448-2457. doi:10.1109/78.709533
[3] D. Belkic and K. Belkic, “Optimized Molecular Imaging through Magnetic Resonance for Improved Target Definition in Radiation Oncology,” In: G. Garca Gomez-Tejedor and M. C. Fuss, Eds., Radiation Damage in Biomolecular Systems, Springer Netherlands, Dordrecht, 2012, pp. 411-430.
[4] C. E. Shannon, “Communication in the Presence of Noise,” Proceedings of IEEE, Vol. 86, No. 2, 1998, pp. 447-457. doi:10.1109/JPROC.1998.659497
[5] D. Bessis and L. Perotti, “Universal Analytic Properties of Noise: Introducing the J-Matrix Formalism,” Journal of Physics A, Vol. 42, No. 36, 2009, Article ID: 365202. doi:10.1088/1751-8113/42/36/365202
[6] J. Gilewicz and B. Truong-Van, “Froissart Doublets in Padé Approximants and Noise,” Constructive Theory of Functions 1987, Bulgarian Academy of Sciences, Sofia, 1988, pp. 145-151.
[7] J.-D. Fournier, G. Mantica, A. Mezincescu and D. Bessis, “Universal Statistical Behavior of the Complex Zeros of Wiener Transfer Functions,” Europhysics Letters, Vol. 22, No. 5, 1993, pp. 325-331. doi:10.1209/0295-5075/22/5/002
[8] J.-D. Fournier, G. Mantica, A. Mezincescu and D. Bessis, “Statistical Properties of the Zeros of the Transfer Functions in Signal Processing,” In: D. Benest and C. Froeschle, Eds., Chaos and Diffusion in Hamiltonian Systems, Editions Frontières, Paris, 1995.
[9] D. Bessis, “Padé Approximations in Noise Filtering,” Journal of Computational and Applied Mathematics, Vol. 66, No. 1-2, 1996, pp. 85-88. doi:10.1016/0377-0427(95)00177-8
[10] L. Perotti, D. Vrinceanu and D. Bessis, “Beyond the Fourier Transform: Signal Symmetry Breaking in the Complex Plane,” IEEE Signal Processing Letters, Vol. 19, No. 12, 2012, pp. 865-867. doi:10.1109/LSP.2012.2224864
[11] V. F. Pisarenko, “The Retrieval of Harmonics from a Covariance Function,” Geophysical Journal of the Royal Astronomical Society, Vol. 33, No. 3, 1973, pp. 347-366.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.