World Scientific
  • Search
  •   
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at [email protected] for any enquiries.

The linear canonical wavelet transform on some function spaces

    https://doi.org/10.1142/S0219691318500108Cited by:46 (Source: Crossref)

    It is well known that the domain of Fourier transform (FT) can be extended to the Schwartz space 𝒮(R) for convenience. As a generation of FT, it is necessary to detect the linear canonical transform (LCT) on a new space for obtaining the similar properties like FT on 𝒮(R). Therefore, a space 𝒮A1(R) generalized from 𝒮(R) is introduced firstly, and further we prove that LCT is a homeomorphism from 𝒮A1(R) onto itself. The linear canonical wavelet transform (LCWT) is a newly proposed transform based on the convolution theorem in LCT domain. Moreover, we propose an equivalent definition of LCWT associated with LCT and further study some properties of LCWT on 𝒮A1(R). Based on these properties, we finally prove that LCWT is a linear continuous operator on the spaces of Lp,A1 and HA1s,p.

    AMSC: 46F12, 46E35, 46A11

    References

    • 1. M. J. Bastiaans and T. Alieva, The Linear Canonical Transformation (Springer, New York, 2016). Google Scholar
    • 2. C. Bouzar and T. Saidi, Fourier analysis of generalized functions, Integral Transforms Spec. Funct. 22(4–5) (2011) 337–344. Crossref, Web of ScienceGoogle Scholar
    • 3. Q. Feng and B. Z. Li, Convolution and correlation theorems for the two-dimensional linear canonical transform and its applications, IET Signal Process. 10(2) (2016) 125–132. Crossref, Web of ScienceGoogle Scholar
    • 4. N. Goel et al., Multiplicative filtering in the linear canonical transform domain, IET Signal Process. 10(2) (2016) 173–181. Crossref, Web of ScienceGoogle Scholar
    • 5. N. Goel and K. Singh, Modified correlation theorem for the linear canonical transform with representation transformation in quantum mechanics, Signal Image Video Process. 8(3) (2014) 595–601. Crossref, Web of ScienceGoogle Scholar
    • 6. L. Grafakos, Classical Fourier Analysis (Springer, New York, 2008). CrossrefGoogle Scholar
    • 7. V. Karunakaran and C. Ganesan, Fourier transform on integrable Boehmians, Integral Transforms Spec. Funct. 20(12) (2009) 937–941. Crossref, Web of ScienceGoogle Scholar
    • 8. A. A. Kilbas et al., Fractional Fourier transform in the framework of fractional calculus operators, Integral Transforms Spec. Funct. 21(10) (2010) 779–795. Crossref, Web of ScienceGoogle Scholar
    • 9. R. S. Pathak, A. Prasad and M. Kumar, Fractional Fourier transform of tempered distributions and generalized pseudo-differential operator, J. Pseudo.-Differ. Oper. 3(2) (2012) 239–254. Crossref, Web of ScienceGoogle Scholar
    • 10. R. S. Pathak and S. K. Singh, The wavelet transform on spaces of type S, Proc. Roy. Soc. Enidburgh. A 136(4) (2006) 837–850. Crossref, Web of ScienceGoogle Scholar
    • 11. S. Pilipovi, D. Raki, N. Teofanov and J. Vindas, The wavelet transforms in Gelfand–Shilov spaces, Collect. Math. 67(3) (2016) 443–460. Crossref, Web of ScienceGoogle Scholar
    • 12. A. Prasad et al., The generalized continuous wavelet transform associated with the fractional Fourier transform, J. Comput. Appl. Math. 259 (2014) 660–671. Crossref, Web of ScienceGoogle Scholar
    • 13. A. Prasad and M. Kumar, Product of two generalized pseudo-differential operators involving fractional Fourier transform, J. Pseudo.-Differ. Oper. 2(3) (2011) 355–365. Crossref, Web of ScienceGoogle Scholar
    • 14. A. Prasad and P. Kumar, The continuous fractional wavelet transform on generalized weighted Sobolev spaces, Asian-European J. Math. 8(3) (2015) 1550054. LinkGoogle Scholar
    • 15. A. Prasad and P. Kumar, Composition of the continuous fractional wavelet transforms, Natl. Acad. Sci. Lett. 39(2) (2016) 115–120. Crossref, Web of ScienceGoogle Scholar
    • 16. A. Prasad and P. Kumar, The continuous fractional wavelet transform on a generalized Sobolev space, Int. J. Wavelets Multiresolut. Inf. Process. 14(6) (2016) 1650046. Link, Web of ScienceGoogle Scholar
    • 17. A. Prasad and P. Kumar, Fractional continuous wavelet transform on some function spaces, Proc. Natl. Acad. Sci. India A 86(1) (2016) 57–64. Crossref, Web of ScienceGoogle Scholar
    • 18. A. Prasad and A. Mahato, The fractional wavelet transform on spaces of type S, Integral Transforms Spec. Funct. 23(4) (2012) 237–249. Crossref, Web of ScienceGoogle Scholar
    • 19. A. Prasad and A. Mahato, The fractional wavelet transform on spaces of type W, Integral Transforms Spec. Funct. 24(3) (2013) 239–250. Crossref, Web of ScienceGoogle Scholar
    • 20. J. Shi et al., Extrapolation of bandlimited signals in linear canonical transform domain, IEEE Trans. Signal Process. 60(3) (2012) 1502–1508. Crossref, Web of ScienceGoogle Scholar
    • 21. J. Shi, N. T. Zhang and X. P. Liu, A novel fractional wavelet transform and its applications, Sci. China Inform. Sci. 55(6) (2012) 1270–1279. Crossref, Web of ScienceGoogle Scholar
    • 22. D. Wei and Y. Li, Generalized wavelet transform based on the convolution operator in the linear canonical transform domain, Optik 125(16) (2014) 4491–4496. Crossref, Web of ScienceGoogle Scholar
    • 23. T. Z. Xu and B. Z. Li, The Linear Canonical Transform and Its Applications (Science Press, Beijing, 2013). Google Scholar