Abstract
The well-known quaternion algebra is a four-dimensional natural extension of the field of complex numbers and plays a significant role in various aspects of signal processing, particularly for representing signals wherein several instincts are to be controlled simultaneously. For efficient analysis of such quaternionic signals, we introduce the notion of linear canonical wavelet transform in quaternion domain by invoking the elegant convolution structure associated with the quaternion linear canonical transform. The preliminary analysis encompasses the study of fundamental properties of the proposed linear canonical wavelet transform in quaternion domain including the Rayleigh’s theorem, inversion formula and a characterization of the range. Subsequently, we formulate three uncertainty principles; viz, Heisenberg-type, logarithmic and local uncertainty inequalities associated with the linear canonical wavelet transform in quaternion domain.
Similar content being viewed by others
References
Akila, L., Roopkumar, R.: Ridgelet transform on quaternion valued functions. Int. J. Wavelets Multiresolut. Inf. Process. 14, 1650006 (2016)
Akila, L., Roopkumar, R.: Quaternionic Stockwell transform. Integ. Transf. Spec. Funct. 27(6), 484–504 (2016)
Akila, L., Roopkumar, R.: Quaternionic curvelet transform. Optik. 131, 255–266 (2017)
Antoine, J.P., Murenzi, R.: Two-dimensional directional wavelet and the scale-angle representation. Signal Process. 52(3), 259–281 (1996)
Bahri, M., Ashino, R., Vaillancourt, R.: Continuous quaternion Fourier and wavelet transforms. Int. J. Wavelets Multiresolut. Inf. Process. 12, 1460003 (2014)
Bahri, M., Ashino, R.: A simplified proof of uncertainty principle for quaternion linear canonical transform. Abstr. Appl. Anal. Article ID 5874930, (2016)
Bahri, M., Resnawati, Musdalifah, S.: A version of uncertainty principle for quaternion linear canonical transform. Abstr. App. Anal. Article ID 8732457, (2018)
Bahri, M., Ryuichi, A.: Logarithmic uncertainty principle for quaternionic linear canonical tranform. In: ’ ’Inter. Conference on Wavelet Aalysis and Pattern Recognition (ICWAPR), 140–145, (2019)
Corrochano, E.B.: The theory and use of the quaternion wavelet transform. J. Math. Imag. Vis. 24(1), 19–35 (2006)
Debnath, L., Shah, F.A.: Wavelet transforms and their applications. Birkhäuser, New York (2015)
Debnath, L., Shah, F.A.: Lectuer notes on wavelet transforms. Birkhäuser, Boston (2017)
Folland, G.B., Sitaram, A.: The uncertainty principle: a mathematical survey. J. Fourier Anal. Appl. 3, 207–238 (1997)
Gao, W.B., Li, B.Z.: Quaternion windowed linear canonical transform of two-dimensional signals. Adv. Appl. Clifford Algebras. 30, (2020). https://doi.org/10.1007/s00006-020-1042-4
Guo, Y., Li, B.Z.: The linear canonical wavelet transform on some function spaces. Int. J. Wavelets Multiresolut. Inf. Process. 16(1), 1850010 (2018). https://doi.org/10.1142/S0219691318500108
Hitzer, E., Sangwine, S.J.: Quaternion and clifford fourier transforms and wavelets. Birkhäuser, Basel (2013)
Kou, K.I., Xu, R.H.: Windowed linear canonical transform and its applications. Signal Process. 92(1), 179–188 (2012)
Kou, K.I., Ou, J., Morais, J.: Uncertainty principle for quaternion linear canonical transform. Abstr. App. Anal. 24121, (2013)
Kou, K.I., Morais, J.: Asymptotic behaviour of the quaternion linear canonical transform and the Bochner–Minlos theorem. Appl. Math. Comput. 247(15), 675–688 (2014)
Marks, R.J.: Advanced topics in shannon sampling and interpolation theory. Springer-Verlag, (1993)
Moshinsky, M., Quesne, C.: Linear canonical transformations and their unitary representations. J. Math. Phys. 12(8), 1772–1780 (1971)
Morais, J.P., Georgiev, S., Sproßig, W.: Real quaternionic calculus handbook. Birkhäuser, Basel (2014)
Price, J.F.: Inequalities and local uncertainty principles. J. Math. Phys. 24, 1711 (1983)
Shah, F.A., Tantary, A.Y.: Quaternionic Shearlet transform. Optik. 175, 115–125 (2018)
Shah, F.A., Teali, A.A., Tantary, A.Y.: Windowed special affine Fourier transform. J. Pseudo-Differ. Oper. Appl. 11, 13891420 (2020)
Shah, F.A., Tantary, A.Y.: Linear canonical Stockwell transform. J. Math. Anal. Appl. 443, 1–28 (2020)
Shah, F.A., Teali, A.A., Tantary, A.Y.: Special affine wavelet transform and the corresponding Poisson summation formula. Int. J. Wavelets Multiresolut. Inf. Process. (2021). https://doi.org/10.1142/S0219691320500861
Wang, J., Wang, Y., et al.: Discrete linear canonical wavelet transform and its applications. EURASIP J. Adv. Signal Process. 29, (2018). https://doi.org/10.1186/s13634-018-0550-z
Wei, D., Li, Y.: Generalized wavelet transform based on the convolution operator in the linear canonical transform domain. Optik. 125(16), 4491–4496 (2014)
Wilczok, E.: New uncertainty principles for the continuous Gabor transform and the continuous wavelet transform. Doc. Math. 5, 201–226 (2000)
Xu, T.Z., Li, B.Z.: Linear canonical transform and its applications. Science Press, Beijing (2013)
Acknowledgements
The first author is supported by SERB (DST), Government of India, Grant No. EMR/2016/007951.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no competing interests.
Additional information
Communicated by Wolfgang Sprössig
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Shah, F.A., Teali, A.A. & Tantary, A.Y. Linear Canonical Wavelet Transform in Quaternion Domains. Adv. Appl. Clifford Algebras 31, 42 (2021). https://doi.org/10.1007/s00006-021-01142-7
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00006-021-01142-7