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

Civil Engineering

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