Skip to main content
Log in

Two-dimensional Fractional Stockwell Transform

  • Published:
Circuits, Systems, and Signal Processing Aims and scope Submit manuscript

Abstract

In this paper, we introduce a new two-dimensional fractional Stockwell transform using the kernel of the coupled fractional Fourier transform. We establish that the two-dimensional fractional Stockwell transform satisfies all the expected properties including Parseval identity and inversion formula. We also characterize the range of the fractional Stockwell transform on \(\mathscr {L}^2(\mathbb {R}^2)\) and prove a convolution theorem of the transform. Finally, we prove the uncertainty principles for the coupled fractional Fourier transform as well as for the two-dimensional fractional Stockwell transform.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Data Availability

Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.

References

  1. L. Akila, R. Roopkumar, Quaternionic Stockwell transform. Integr. Transforms Spec. Funct. 27(6), 484–504 (2016)

    Article  MathSciNet  Google Scholar 

  2. E.M. Babu, S.D. Maniks, N.M. Nandhitha, N. Selvarasu, S.E. Roslin, R. Chakravarthi, M.S. Sangeetha, Two-dimensional Stockwell transform based image fusion for combining multifocal images, in 2017 International Conference on Intelligent Sustainable Systems (ICISS) (IEEE, 2017) pp. 710–714 (2017)

  3. A. Bajaj, S. Kumar, A robust approach to denoise ECG signals based on fractional Stockwell transform. Biomed. Signal Process. Control. 62, 102090 (2020)

    Article  Google Scholar 

  4. A. Bajaj, S. Kumar, QRS complex detection using fractional Stockwell transform and fractional Stockwell Shannon energy. Biomed. Signal Process. Control 54(9), 101628 (2019)

    Article  Google Scholar 

  5. E.U. Condon, Immersion of the Fourier transform in a continuous group of functional transformations. Proc. Natl. Acad. Sci. U.S.A. 23(3), 158–164 (1937)

    Article  MathSciNet  Google Scholar 

  6. I. Djurovic, S. Stankovic, I. Pitas, Digital watermarking in the fractional Fourier transformation domain. J. Netw. Comput. Appl. 24(2), 167–173 (2001)

    Article  Google Scholar 

  7. J. Du, M.W. Wong, H. Zhu, Continuous and discrete inversion formulas for the Stockwell transform. Integr. Transforms Spec. Funct. 18(8), 537–543 (2007)

    Article  MathSciNet  Google Scholar 

  8. Z.C. Du, D.P. Xu, J.M. Zhang, Fractional \(S\)-transform-part 2: application to reservoir prediction and fluid identification. Appl. Geophys. 13(2), 343–352 (2016)

    Article  Google Scholar 

  9. G.B. Folland, A. Sitaram, The uncertainty principle: a mathematical survey. J. Fourier Anal. Appl. 3(3), 207–238 (1997)

    Article  MathSciNet  Google Scholar 

  10. K. Gröchenig, Foundations of Time-Frequency Analysis (Birkhäuser, Boston, 2001)

    Book  Google Scholar 

  11. N.P. Hindley, N.D. Smith, C.J. Wright, D.A.S. Rees, N.J. Mitchell, A two-dimensional Stockwell transform for gravity wave analysis of AIRS measurements. Atmos. Meas. Tech. 9(6), 2545–2565 (2016)

    Article  Google Scholar 

  12. S. Hu, S. Ma, W. Yan, N.P. Hindley, K. Xu, J. Jiang, Measuring gravity wave parameters from a nighttime satellite low-light image based on two-dimensional Stockwell transform. J. Atmos. Ocean. Tech. 36(1), 41–51 (2019)

    Article  Google Scholar 

  13. D. Jhanwar, K.K. Sharma, S.G. Modani, Generalized fractional \(S\)-transform and its application to discriminate environmental background acoustic noise signals. Acoust. Phys. 60(4), 466–473 (2014)

    Article  Google Scholar 

  14. R. Kamalakkannan, R. Roopkumar, A.I. Zayed, On the extension of the coupled fractional Fourier transform and its properties. Integr. Transforms Spec. Funct. (2021). https://doi.org/10.1080/10652469.2021.1902320

    Article  MATH  Google Scholar 

  15. R. Kamalakkannan, R. Roopkumar, A.I. Zayed, Short time coupled fractional Fourier transform and the uncertainty principle. Frac. Calc. Appl. Anal. 24, 3 (2021)

    MathSciNet  MATH  Google Scholar 

  16. D. Mendlovic, Z. Zalevsky, D. Mas, J. García, C. Ferreira, Fractional wavelet transform. Appl. Opt. 36(20), 4801–4806 (1997)

    Article  Google Scholar 

  17. V. Namias, The fractional order Fourier transform and its application to quantum mechanics. IMA J. Appl. Math. 25(3), 241–265 (1980)

    Article  MathSciNet  Google Scholar 

  18. H.M. Ozaktas, D. Mendlovic, Fourier transforms of fractional order and their optical interpretation. Opt. Commun. 101(3–4), 163–169 (1993)

    Article  Google Scholar 

  19. H.M. Ozaktas, Z. Zalevsky, M. Kutay, The Fractional Fourier Transform with Applications in Optics and Signal Processing (Wiley, New York, 2001)

    Google Scholar 

  20. R. Ranjan, N. Jindal, A.K. Singh, Convolution theorem with its derivatives and multiresolution analysis for fractional \(S\)-transform. Circuits Syst. Signal Process. 38, 5212–5235 (2019)

    Article  Google Scholar 

  21. R. Ranjan, N. Jindal, A.K. Singh, Fractional \(S\)-transform and its properties: a comprehensive survey. Wirel. Pers. Commun. 113, 2519–2541 (2020)

    Article  Google Scholar 

  22. L. Riba, M.W. Wang, Continuous inversion formulas for multi-dimensional Stockwell transforms. Math. Model. Nat. Phenom. 8(1), 215–229 (2013)

    Article  MathSciNet  Google Scholar 

  23. L. Rodino, M.W. Wong (eds.), New Developments in Pseudo-Differential Operators (Birkhäuser, Basel, 2008)

    Google Scholar 

  24. R. Roopkumar, Stockwell transform for boehmians. Integr. Transforms Spec. Funct. 24(4), 251–262 (2013)

    Article  MathSciNet  Google Scholar 

  25. W. Rudin, Real and Complex Analysis, 3rd edn. (McGraw-Hill Inc., New York, 1987)

    MATH  Google Scholar 

  26. F.A. Shah, A.Y. Tantary, Linear canonical Stockwell transform. J. Math. Anal. Appl. 484(1), 123673 (2020)

    Article  MathSciNet  Google Scholar 

  27. F.A. Shah, A.Y. Tantary, Non-isotropic angular Stockwell transform and the associated uncertainty principles. Appl. Anal. 100(4), 835–859 (2021)

    Article  MathSciNet  Google Scholar 

  28. J. Shi, N.T. Zhang, X.P. Liu, A novel fractional wavelet transform and its applications. Sci. China Inf. Sci. 55(6), 1270–1279 (2011)

    Article  MathSciNet  Google Scholar 

  29. J. Shi, J. Zheng, X. Liu, W. Xiang, Q. Zhang, Novel short-time fractional Fourier transform: theory, implementation, and applications. IEEE Trans. Signal Process. 68, 3280–3295 (2020)

    Article  MathSciNet  Google Scholar 

  30. S.K. Singh, The fractional \(S\)-Transform on spaces of type \(S\). J. Math. 2013, 1–9 (2013)

    Article  MathSciNet  Google Scholar 

  31. S.K. Singh, The fractional \(S\)-transform on spaces of type \(W\). J. Pseudo-Differ. Oper. Appl. 4(2), 251–265 (2013)

    Article  MathSciNet  Google Scholar 

  32. S.K. Singh, The \(S\)-transform of distributions. Sci. World J. 2014, 1–4 (2014)

    Google Scholar 

  33. H.M. Srivastava, F.A. Shah, A.Y. Tantary, A family of convolution-based generalized Stockwell transforms. J. Pseudo-Differ. Oper. Appl. 11, 1505–1536 (2020)

    Article  MathSciNet  Google Scholar 

  34. M. Soleimani, A. Vahidi, B. Vaseghi, Two-dimensional Stockwell transform and deep convolutional neural network for multi-class diagnosis of pathological brain. IEEE Trans. Neural Syst. Rehabil. Eng. 2020(29), 163–172 (2021)

    Article  Google Scholar 

  35. R.G. Stockwell, L. Mansinha, R.P. Lowe, Localization of the complex spectrum: the \(S\) transform. IEEE Trans. Signal Process. 44(4), 998–1001 (1996)

    Article  Google Scholar 

  36. R. Tao, Y.L. Li, Y. Wang, Short-time fractional Fourier transform and its applications. IEEE Trans. Signal Process. 58(5), 2568–2580 (2010)

    Article  MathSciNet  Google Scholar 

  37. Y. Wang, P. Zhenming, The optimal fractional \(S\) transform of the seismic signal based on the normalized second-order central moment. J. Appl. Geophy. 129, 8–16 (2016)

    Article  Google Scholar 

  38. F. Weisz, Convergence and Summability of Fourier Transforms and Hardy Spaces (Birkhäuser, Cham, 2017)

    Book  Google Scholar 

  39. D.P. Xu, K. Guo, Fractional \(S\) transform-part 1: theory. Appl. Geophys. 9(1), 73–79 (2012)

    Article  Google Scholar 

  40. A.I. Zayed, Two-dimensional fractional Fourier transform and some of its properties. Integr. Transforms Spec. Funct. 29(7), 553–570 (2018)

    Article  MathSciNet  Google Scholar 

  41. A.I. Zayed, A new perspective on the two-dimensional fractional Fourier transform and its relationship with the Wigner distribution. J. Fourier Anal. Appl. 25(2), 460–487 (2019)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors express their sincere thanks to the reviewers for their honest reviews, valuable comments and suggestions which highly improved the quality and clarity of this paper.

Funding

The work of Mr R. Kamalakkannan is supported by Junior Research Fellowship from Council of Scientific and Industrial Research-University Grants Commission (CSIR-UGC), India.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajakumar Roopkumar.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kamalakkannan, R., Roopkumar, R. Two-dimensional Fractional Stockwell Transform. Circuits Syst Signal Process 41, 1735–1750 (2022). https://doi.org/10.1007/s00034-021-01858-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00034-021-01858-8

Keywords

Navigation