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A new convolution theorem associated with the linear canonical transform

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Abstract

In this paper, we first introduce a new notion of canonical convolution operator, and show that it satisfies the commutative, associative, and distributive properties, which may be quite useful in signal processing. Moreover, it is proved that the generalized convolution theorem and generalized Young’s inequality are also hold for the new canonical convolution operator associated with the LCT. Finally, we investigate the sufficient and necessary conditions for solving a class of convolution equations associated with the LCT.

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References

  1. Anh, P.K., Castro, L.P., Thao, P.T., Tuan, N.M.: Inequalities and consequences of new convolutions for the fractional Fourier transform with Hermite weights. In: AIP Conference Proceedings, Volume 1798, pp. 020006. AIP Publishing, Melville (2017)

  2. Anh, P.K., Castro, L.P., Thao, P.T., Tuan, N.M.: Two new convolutions for the fractional Fourier transform. Wireless Pers. Commun. 92(2), 623–637 (2017)

    Article  Google Scholar 

  3. Barshan, B., Kutay, M.A., Ozaktas, H.M.: Optimal filtering with linear canonical transformations. Opt. Commun. 135(1), 32–36 (1997)

    Article  Google Scholar 

  4. Bernardo, L.M.: ABCD matrix formalism of fractional Fourier optics. Opt. Eng. 35(3), 732–740 (1996)

    Article  Google Scholar 

  5. Deng, B., Tao, R., Wang, Y.: Convolution theorems for the linear canonical transform and their applications. Sci. China Ser. F Inform. Sci. 49(5), 592–603 (2006)

    Article  MathSciNet  Google Scholar 

  6. Gröchenig, K.: Foundations of Time-Frequency Analysis. Birkhäuser, New York (2001)

    Book  MATH  Google Scholar 

  7. Huang, L., Zhang, K., Chai, Y., Xu, S.: Uncertainty principle and orthogonal condition for the short-time linear canonical transform. Signal Image Video Process. 10(6), 1177–1181 (2016)

    Article  Google Scholar 

  8. Huo, H., Sun, W.: Sampling theorems and error estimates for random signals in the linear canonical transform domain. Signal Process. 111, 31–38 (2015)

    Article  Google Scholar 

  9. Moshinsky, M., Quesne, C.: Linear canonical transformations and their unitary representations. J. Math. Phys. 12(8), 1772–1780 (1971)

    Article  MathSciNet  MATH  Google Scholar 

  10. Ozaktas, H.M., Zalevsky, Z., Kutay, M.A.: The Fractional Fourier Transform. Wiley, New York (2001)

    Book  Google Scholar 

  11. Pei, S.-C., Ding, J.-J.: Relations between fractional operations and time-frequency distributions, and their applications. IEEE Trans. Signal Process. 49(8), 1638–1655 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  12. Qiu, W., Li, B.-Z., Li, X.-W.: Speech recovery based on the linear canonical transform. Speech Commun. 55(1), 40–50 (2013)

    Article  Google Scholar 

  13. Sharma, K.K., Sharma, L., Sharma, S.: On bandlimitedness of signals in the 2D-nonseparable linear canonical transform domains. Signal Image Video Process. 9(4), 941–946 (2015)

    Article  Google Scholar 

  14. Shi, J., Han, M., Zhang, N.: Uncertainty principles for discrete signals associated with the fractional Fourier and linear canonical transforms. Signal Image Video Process. 10(8), 1–7 (2016)

    Article  Google Scholar 

  15. Shi, J., Liu, X., Zhang, N.: Generalized convolution and product theorems associated with linear canonical transform. Signal Image Video Process. 8, 967–974 (2014)

    Article  Google Scholar 

  16. Shi, J., Sha, X., Zhang, Q., Zhang, N.: Extrapolation of bandlimited signals in linear canonical transform domain. IEEE Trans. Signal Process. 60(3), 1502–1508 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  17. Stern, A.: Why is the linear canonical transform so little known? In: AIP Conference Proceedings, 5’th International Workshop on Information Optics, vol. 860, pp. 225–234

  18. Stern, A.: Uncertainty principles in linear canonical transform domains and some of their implications in optics. JOSA A 25(3), 647–652 (2008)

    Article  MathSciNet  Google Scholar 

  19. Wei, D.: Image super-resolution reconstruction using the high-order derivative interpolation associated with fractional filter functions. IET Signal Process. 10(9), 1052–1061 (2016)

    Article  Google Scholar 

  20. Wei, D., Li, Y.: Reconstruction of multidimensional bandlimited signals from multichannel samples in linear canonical transform domain. IET Signal Process. 8(6), 647–657 (2014)

    Article  Google Scholar 

  21. Wei, D., Li, Y.M.: Generalized sampling expansions with multiple sampling rates for lowpass and bandpass signals in the fractional Fourier transform domain. IEEE Trans. Signal Process. 64(18), 4861–4874 (2016)

    Article  MathSciNet  Google Scholar 

  22. Wei, D., Ran, Q., Li, Y.: A convolution and correlation theorem for the linear canonical transform and its application. Circuits Syst. Signal Process. 31(1), 301–312 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  23. Wei, D., Ran, Q., Li, Y., Ma, J., Tan, L.: A convolution and product theorem for the linear canonical transform. IEEE Signal Process. Lett. 16(10), 853–856 (2009)

    Article  Google Scholar 

  24. Wei, D., Wang, R., Li, Y.-M.: Random discrete linear canonical transform. JOSA A 33(12), 2470–2476 (2016)

    Article  Google Scholar 

  25. Xiang, Q., Qin, K.: Convolution, correlation, and sampling theorems for the offset linear canonical transform. Signal Image Video Process. 8(3), 433–442 (2014)

    Article  Google Scholar 

  26. Xiao, L., Sun, W.: Sampling theorems for signals periodic in the linear canonical transform domain. Opt. Commun. 290, 14–18 (2013)

    Article  Google Scholar 

  27. Xu, L., Tao, R., Zhang, F.: Multichannel consistent sampling and reconstruction associated with linear canonical transform. IEEE Signal Process. Lett. 24(5), 658–662 (2017)

    Article  Google Scholar 

  28. Zhang, Q.: Zak transform and uncertainty principles associated with the linear canonical transform. IET Signal Process. 10(7), 791–797 (2016)

    Article  Google Scholar 

  29. Zhao, J., Tao, R., Li, Y.-L., Wang, Y.: Uncertainty principles for linear canonical transform. IEEE Trans. Signal Process. 57(7), 2856–2858 (2009)

    Article  MathSciNet  MATH  Google Scholar 

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Acknowledgements

The author thanks the referees very much for carefully reading the paper and for elaborate and valuable suggestions.

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Correspondence to Haiye Huo.

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Huo, H. A new convolution theorem associated with the linear canonical transform. SIViP 13, 127–133 (2019). https://doi.org/10.1007/s11760-018-1337-2

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  • DOI: https://doi.org/10.1007/s11760-018-1337-2

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