Computationally Efficient Robust Chinese Remainder Theorem for Frequency Estimation from Undersampled Waveforms
Joint Authors
Li, Xiaoping
Wang, Wenjie
Yao, Bobin
Yang, Bin
Yin, Qinye
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
We present an efficient algorithm based on the robust Chinese remainder theorem (CRT) to perform single frequency determination from multiple undersampled waveforms.
The optimal estimate of common remainder in robust CRT, which plays an important role in the final frequency estimation, is first discussed.
To avoid the exhausted searching in the optimal estimation, we then provide an improved algorithm with the same performance but less computation.
Besides, the sufficient and necessary condition of the robust estimation was proposed.
Numerical examples are also provided to verify the effectiveness of the proposed algorithm and related conclusions.
American Psychological Association (APA)
Li, Xiaoping& Wang, Wenjie& Yao, Bobin& Yang, Bin& Yin, Qinye. 2013. Computationally Efficient Robust Chinese Remainder Theorem for Frequency Estimation from Undersampled Waveforms. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1009324
Modern Language Association (MLA)
Li, Xiaoping…[et al.]. Computationally Efficient Robust Chinese Remainder Theorem for Frequency Estimation from Undersampled Waveforms. Mathematical Problems in Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1009324
American Medical Association (AMA)
Li, Xiaoping& Wang, Wenjie& Yao, Bobin& Yang, Bin& Yin, Qinye. Computationally Efficient Robust Chinese Remainder Theorem for Frequency Estimation from Undersampled Waveforms. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1009324
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009324