Open Access
ARTICLE
Two-Dimensional Interpolation Criterion Using DFT Coefficients
Yuan Chen1, Liangtao Duan1, Weize Sun2, *, Jingxin Xu3
1 University of Science & Technology Beijing, Beijing, China.
2 ShenZhen University, Shenzhen, China.
3 Department of Housing and Public Works, Queensland Government, Brisbane, Australia.
* Corresponding Author: Weize Sun. Email: .
Computers, Materials & Continua 2020, 62(2), 849-859. https://doi.org/10.32604/cmc.2020.07115
Abstract
In this paper, we address the frequency estimator for 2-dimensional (2-D)
complex sinusoids in the presence of white Gaussian noise. With the use of the sinc
function model of the discrete Fourier transform (DFT) coefficients on the input data, a
fast and accurate frequency estimator is devised, where only the DFT coefficient with the
highest magnitude and its four neighbors are required. Variance analysis is also included
to investigate the accuracy of the proposed algorithm. Simulation results are conducted to
demonstrate the superiority of the developed scheme, in terms of the estimation
performance and computational complexity.
Keywords
Cite This Article
Y. Chen, L. Duan, W. Sun and J. Xu, "Two-dimensional interpolation criterion using dft coefficients,"
Computers, Materials & Continua, vol. 62, no.2, pp. 849–859, 2020.
Citations