Bivariate Generalized Exponential Sampling Series and Applications to Seismic Waves
Yıl 2019,
Cilt: 2 Sayı: 4, 153 - 167, 01.12.2019
Carlo Bardaro
Giada Bevıgnanı
Ilaria Mantellını
Marco Seracını
Öz
In this paper we introduce the generalized exponential sampling series of bivariate functions and establish some pointwise and uniform convergence results, also in a quantitative form. Moreover, we study the pointwise asymptotic behaviour of the series. One of the basic tools is the Mellin--Taylor formula for bivariate functions, here introduced. A practical application to seismic waves is also outlined.
Destekleyen Kurum
Università di Perugia, Fondazione Cassa di Risparmio di Perugia (CRP)
Proje Numarası
Università di Perugia Project "Ricerca di Base 2017"; Project Fondazione Cassa di Risparmio di Perugia, cod. nr. 2018.0419.021
Teşekkür
Gruppo Nazionale per l'Analisi Matematica e Applicazioni (GNAMPA) INDAM
Kaynakça
- [1] L. Angeloni, D. Costarelli, G. Vinti, A characterization of the convergence in variation for the generalized sampling series,
Ann. Acad. Sci. Fenn. Math., 43(2), (2018), 755–767.
- [2] L. Angeloni, G. Vinti, Discrete operators of sampling type and approximation in '-variation, Math. Nachr., 291(4), (2018),
546–555.
- [3] C. Bardaro, P.L. Butzer, I. Mantellini, The exponential sampling theorem of signal analysis and the reproducing kernel
formula in the Mellin transform setting, Sampling Theory in Signal and Image Process., 13(1), (2014), 35–66.
- [4] C. Bardaro, P.L. Butzer, I. Mantellini, G. Schmeisser, On the Paley–Wiener theorem in the Mellin transform setting, J.
Approx. Theory, 207, (2016), 60–75.
- [5] C. Bardaro, P.L. Butzer, I. Mantellini, G. Schmeisser, A fresh approach to the Paley–Wiener theorem for Mellin transforms
and the Mellin–Hardy spaces, Math. Nachr., 290, (2017), 2759–2774.
- [6] C. Bardaro, P.L. Butzer, R.L. Stens, G. Vinti, Prediction by samples from the past with error estimates covering discontinuous
signals, IEEE Trans. Information Theory, 56(1), (2010), 614–633.
- [7] C. Bardaro, L. Faina, I. Mantellini, A generalization of the exponential sampling series and its approximation properties,
Math. Slovaca, 67(6), (2017), 1481–1496.
- [8] C. Bardaro, I. Mantellini, A note on the Voronovskaja theorem for Mellin–Fejer convolution operators, Appl. Math. Lett.,
24, (2011), 2064–2067.
- [9] C. Bardaro, I. Mantellini, Asymptotic behaviour of Mellin–Fejer convolution operators, East J. Approx., 17(2), (2011),
181–201.
- [10] C. Bardaro, I. Mantellini, G. Schmeisser, Exponential sampling series: convergence in Mellin–Lebesgue spaces, Results
Math., 74, (2019), Art. 119.
- [11] M. Bertero, E.R. Pike, Exponential sampling method for Laplace and other dilationally invariant transforms I. Singularsystem
analysis. II. Examples in photon correction spectroscopy and Frauenhofer diffraction, Inverse Problems, 7, (1991), 1–20; 21–41.
Bivariate generalized exponential sampling series and applications to seismic waves 167
- [12] A. Bobbio, M. Vassallo, G. Festa, Local Magnitude estimation for the Irpinia Seismic Network, Bull. Seismol. Soc. Am.,
99, (2009), 2461–2470.
- [13] P.L. Butzer, S. Jansche, A direct approach to the Mellin transform, J. Fourier Anal. Appl., 3, (1997), 325–375.
- [14] P.L. Butzer, S. Jansche, The exponential sampling theorem of signal analysis, Atti Sem. Mat. Fis. Univ. Modena, Suppl.
Vol. 46, (special issue dedicated to Professor Calogero Vint) (1998), 99–122.
- [15] P.L. Butzer, R.L. Stens, Prediction of non-bandlimited signals in terms of splines of low degree, Math. Nachr., 132, (1987),
115–130.
- [16] P.L. Butzer, R.L. Stens, Linear prediction by samples from the past. In: R.J. Marks II (ed.) Advanced Topics in Shannon
Sampling and Interpolation Theory,Springer, New York, (1993), 157–183.
- [17] D. Casasent (Ed), Optical data processing, Springer, Berlin, (1978), 241–282.
- [18] F. Gori, Sampling in optics In: R.J. Marks II (ed.), Advances Topics in Shannon Sampling and Interpolation Theory,
Springer, New York, (1993), 37–83.
- [19] B. Gutenberg, C. F. Richter, Discussion: Magnitude and energy of earthquakes, Science, 83, 2147, (1936), 183–185.
- [20] J.R. Higgins, Sampling theory in Fourier and signal analysis, Foundations, Oxford Univ. Press., Oxford, (1996).
- [21] A. Kivinukk, G. Tamberg, On window methods in generalized Shannon sampling operators. In: G. Schmeisser and
A. Zayed (Eds) New perspectives on approximation and sampling theory, 63–85, Appl. Numer. Harmon. Anal.,
Birkhaeuser Springer, Cham, (2014).
- [22] R.G. Mamedov, The Mellin transform and approximation theory (in Russian), "Elm", Baku, (1991).
- [23] N. Ostrowsky, D. Sornette, P. Parker, E.R. Pike, Exponential sampling method for light scattering polydispersity analysis,
Opt. Acta, 28, (1994), 1059–1070.
- [24] C. F. Richte, An instrumental earthquake magnitude scale, Bull. Seismol. Soc. Am., 25, (1935), 1–32.
- [25] L.L. Schumaker, Spline functions: basic theory, John Wiley and Sons, New York, (1981).
- [26] E.Weber, V. Convertito, G. Iannaccone, A. Zollo, A. Bobbio, L. Cantore, M. Corciulo, M. Di Crosta, L. Elia, C. Martino,
A. Romeo, C. Satriano, An advanced seismic network in the southern Apennines (Italy) for seismicity investigations
and experimentation with earthquake early warning Seism. Res. Lett., 78, (2007), 622–534.
- [27] A.I. Zayed, Advances in Shannon’s Sampling Theory, CRC Press, Boca Raton (1993).
Yıl 2019,
Cilt: 2 Sayı: 4, 153 - 167, 01.12.2019
Carlo Bardaro
Giada Bevıgnanı
Ilaria Mantellını
Marco Seracını
Proje Numarası
Università di Perugia Project "Ricerca di Base 2017"; Project Fondazione Cassa di Risparmio di Perugia, cod. nr. 2018.0419.021
Kaynakça
- [1] L. Angeloni, D. Costarelli, G. Vinti, A characterization of the convergence in variation for the generalized sampling series,
Ann. Acad. Sci. Fenn. Math., 43(2), (2018), 755–767.
- [2] L. Angeloni, G. Vinti, Discrete operators of sampling type and approximation in '-variation, Math. Nachr., 291(4), (2018),
546–555.
- [3] C. Bardaro, P.L. Butzer, I. Mantellini, The exponential sampling theorem of signal analysis and the reproducing kernel
formula in the Mellin transform setting, Sampling Theory in Signal and Image Process., 13(1), (2014), 35–66.
- [4] C. Bardaro, P.L. Butzer, I. Mantellini, G. Schmeisser, On the Paley–Wiener theorem in the Mellin transform setting, J.
Approx. Theory, 207, (2016), 60–75.
- [5] C. Bardaro, P.L. Butzer, I. Mantellini, G. Schmeisser, A fresh approach to the Paley–Wiener theorem for Mellin transforms
and the Mellin–Hardy spaces, Math. Nachr., 290, (2017), 2759–2774.
- [6] C. Bardaro, P.L. Butzer, R.L. Stens, G. Vinti, Prediction by samples from the past with error estimates covering discontinuous
signals, IEEE Trans. Information Theory, 56(1), (2010), 614–633.
- [7] C. Bardaro, L. Faina, I. Mantellini, A generalization of the exponential sampling series and its approximation properties,
Math. Slovaca, 67(6), (2017), 1481–1496.
- [8] C. Bardaro, I. Mantellini, A note on the Voronovskaja theorem for Mellin–Fejer convolution operators, Appl. Math. Lett.,
24, (2011), 2064–2067.
- [9] C. Bardaro, I. Mantellini, Asymptotic behaviour of Mellin–Fejer convolution operators, East J. Approx., 17(2), (2011),
181–201.
- [10] C. Bardaro, I. Mantellini, G. Schmeisser, Exponential sampling series: convergence in Mellin–Lebesgue spaces, Results
Math., 74, (2019), Art. 119.
- [11] M. Bertero, E.R. Pike, Exponential sampling method for Laplace and other dilationally invariant transforms I. Singularsystem
analysis. II. Examples in photon correction spectroscopy and Frauenhofer diffraction, Inverse Problems, 7, (1991), 1–20; 21–41.
Bivariate generalized exponential sampling series and applications to seismic waves 167
- [12] A. Bobbio, M. Vassallo, G. Festa, Local Magnitude estimation for the Irpinia Seismic Network, Bull. Seismol. Soc. Am.,
99, (2009), 2461–2470.
- [13] P.L. Butzer, S. Jansche, A direct approach to the Mellin transform, J. Fourier Anal. Appl., 3, (1997), 325–375.
- [14] P.L. Butzer, S. Jansche, The exponential sampling theorem of signal analysis, Atti Sem. Mat. Fis. Univ. Modena, Suppl.
Vol. 46, (special issue dedicated to Professor Calogero Vint) (1998), 99–122.
- [15] P.L. Butzer, R.L. Stens, Prediction of non-bandlimited signals in terms of splines of low degree, Math. Nachr., 132, (1987),
115–130.
- [16] P.L. Butzer, R.L. Stens, Linear prediction by samples from the past. In: R.J. Marks II (ed.) Advanced Topics in Shannon
Sampling and Interpolation Theory,Springer, New York, (1993), 157–183.
- [17] D. Casasent (Ed), Optical data processing, Springer, Berlin, (1978), 241–282.
- [18] F. Gori, Sampling in optics In: R.J. Marks II (ed.), Advances Topics in Shannon Sampling and Interpolation Theory,
Springer, New York, (1993), 37–83.
- [19] B. Gutenberg, C. F. Richter, Discussion: Magnitude and energy of earthquakes, Science, 83, 2147, (1936), 183–185.
- [20] J.R. Higgins, Sampling theory in Fourier and signal analysis, Foundations, Oxford Univ. Press., Oxford, (1996).
- [21] A. Kivinukk, G. Tamberg, On window methods in generalized Shannon sampling operators. In: G. Schmeisser and
A. Zayed (Eds) New perspectives on approximation and sampling theory, 63–85, Appl. Numer. Harmon. Anal.,
Birkhaeuser Springer, Cham, (2014).
- [22] R.G. Mamedov, The Mellin transform and approximation theory (in Russian), "Elm", Baku, (1991).
- [23] N. Ostrowsky, D. Sornette, P. Parker, E.R. Pike, Exponential sampling method for light scattering polydispersity analysis,
Opt. Acta, 28, (1994), 1059–1070.
- [24] C. F. Richte, An instrumental earthquake magnitude scale, Bull. Seismol. Soc. Am., 25, (1935), 1–32.
- [25] L.L. Schumaker, Spline functions: basic theory, John Wiley and Sons, New York, (1981).
- [26] E.Weber, V. Convertito, G. Iannaccone, A. Zollo, A. Bobbio, L. Cantore, M. Corciulo, M. Di Crosta, L. Elia, C. Martino,
A. Romeo, C. Satriano, An advanced seismic network in the southern Apennines (Italy) for seismicity investigations
and experimentation with earthquake early warning Seism. Res. Lett., 78, (2007), 622–534.
- [27] A.I. Zayed, Advances in Shannon’s Sampling Theory, CRC Press, Boca Raton (1993).