Discrete uncertainty principle in quaternion setting and application in signal reconstruction

Author:

Yang Yan1,Kou Kit Ian2ORCID,Zou Cuiming3

Affiliation:

1. School of Mathematics (Zhuhai), Sun Yat-Sen University, Zhuhai 519082, P. R. China

2. Department of Mathematics, Faculty of Science and Technology, University of Macau, Taipa, Macao, P. R. China

3. College of Science, Huazhong Agricultural University, Wuhan 430070, P. R. China

Abstract

In this paper, a novel discrete uncertainty principle associated with discrete Quaternion Fourier transform is established to give the relationship between the nonzero numbers of the discrete quaternion-valued signals and their Quaternion Fourier transforms. We obtain that the product of the numbers of nonzero elements of a sequence [Formula: see text], [Formula: see text] and its Quaternion Fourier transform is no less than [Formula: see text] and the result is sharp. Then we extend the uncertainty principle of discrete signals proved by Donoho and Starkin to two dimensional case. It suggests how sparsity helps in the recovery of missing frequency. The experimental results on the recovery of Lena also demonstrate the necessity of the two-dimensional discrete uncertainty principle associated with Quaternion Fourier transforms.

Funder

National Natural Science Foundation of China-Yunnan Joint Fund

Science and Technology Development Fund

Universidade de Macau

Science and Technology Program of Guangzhou

Publisher

World Scientific Pub Co Pte Ltd

Subject

Applied Mathematics,Information Systems,Signal Processing

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