A Method of Moving Average Filtering for Non-uniformly Sampled Signals

DOI

10.2991/icismme-15.2015.59How to use a DOI?

Keywords

non-uniformly sampled;moving-average filters;spectrum estimation;Fourier analysis.

Abstract

This paper presents two new methods for the analysis and the process of non-uniformly sampled signals. During the process of practical sampling, the spectrum estimation from non-uniformly sampled signals is obtained by continuous Fourier transform. A method of moving average filtering for non-uniformly sampled signals is given. In the research non-uniformly sampled signals is represented as the algebraic addition of impulse function. The spectrum character of non-uniformly sampled signals is gotten through unevenly sampling.The moving average filtering method for non-uniformly sampled signals is based on different sampling interval. The validity of this method has been verified by simulation experiments. This developed technique can be applied in the processing of laser gyroscope output signal and the laser gyroscope bias error is reduced by 10.1% compared with traditional average filter.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu-kai Gao
PY  - 2015/07
DA  - 2015/07
TI  - A Method of Moving Average Filtering for Non-uniformly Sampled Signals
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 296
EP  - 300
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.59
DO  - 10.2991/icismme-15.2015.59
ID  - Gao2015/07
ER  -