A Variation on Uncertainty Principle and Logarithmic Uncertainty Principle for Continuous Quaternion Wavelet Transforms

Joint Authors

Bahri, Mawardi
Ashino, Ryuichi

Source

Abstract and Applied Analysis

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-30

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

The continuous quaternion wavelet transform (CQWT) is a generalization of the classical continuous wavelet transform within the context of quaternion algebra.

First of all, we show that the directional quaternion Fourier transform (QFT) uncertainty principle can be obtained using the component-wise QFT uncertainty principle.

Based on this method, the directional QFT uncertainty principle using representation of polar coordinate form is easily derived.

We derive a variation on uncertainty principle related to the QFT.

We state that the CQWT of a quaternion function can be written in terms of the QFT and obtain a variation on uncertainty principle related to the CQWT.

Finally, we apply the extended uncertainty principles and properties of the CQWT to establish logarithmic uncertainty principles related to generalized transform.

American Psychological Association (APA)

Bahri, Mawardi& Ashino, Ryuichi. 2017. A Variation on Uncertainty Principle and Logarithmic Uncertainty Principle for Continuous Quaternion Wavelet Transforms. Abstract and Applied Analysis،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1120812

Modern Language Association (MLA)

Bahri, Mawardi& Ashino, Ryuichi. A Variation on Uncertainty Principle and Logarithmic Uncertainty Principle for Continuous Quaternion Wavelet Transforms. Abstract and Applied Analysis No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1120812

American Medical Association (AMA)

Bahri, Mawardi& Ashino, Ryuichi. A Variation on Uncertainty Principle and Logarithmic Uncertainty Principle for Continuous Quaternion Wavelet Transforms. Abstract and Applied Analysis. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1120812

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1120812