IEICE TRANSACTIONS on Communications
The Evolution Time of Stochastic Resonance and Its Application in Baseband Signal Sampling
Summary :
Stochastic resonance can improve the signal-to-noise ratio of digital baseband signals. However, the output of SR system needs some time for evolution to achieve global steady-state. This paper first analyzes the evolution time of SR systems, which is an important factor for digital baseband signal processing based on SR. This investigation shows that the sampling number per symbol should be rather large, and the minimum sampling number per symbol is deduced according to the evolution time of SR system.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E101-B No.4 pp.995-999
- Publication Date
- 2018/04/01
- Publicized
- 2017/10/17
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2017EBP3167
- Type of Manuscript
- PAPER
- Category
- Fundamental Theories for Communications
Authors
Chaowei DUAN
Tsinghua University
Yafeng ZHAN
Tsinghua University
Hao LIANG
Tsinghua University
Keyword
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Chaowei DUAN, Yafeng ZHAN, Hao LIANG, "The Evolution Time of Stochastic Resonance and Its Application in Baseband Signal Sampling" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 4, pp. 995-999, April 2018, doi: 10.1587/transcom.2017EBP3167.
Abstract: Stochastic resonance can improve the signal-to-noise ratio of digital baseband signals. However, the output of SR system needs some time for evolution to achieve global steady-state. This paper first analyzes the evolution time of SR systems, which is an important factor for digital baseband signal processing based on SR. This investigation shows that the sampling number per symbol should be rather large, and the minimum sampling number per symbol is deduced according to the evolution time of SR system.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3167/_p
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@ARTICLE{e101-b_4_995,
author={Chaowei DUAN, Yafeng ZHAN, Hao LIANG, },
journal={IEICE TRANSACTIONS on Communications},
title={The Evolution Time of Stochastic Resonance and Its Application in Baseband Signal Sampling},
year={2018},
volume={E101-B},
number={4},
pages={995-999},
abstract={Stochastic resonance can improve the signal-to-noise ratio of digital baseband signals. However, the output of SR system needs some time for evolution to achieve global steady-state. This paper first analyzes the evolution time of SR systems, which is an important factor for digital baseband signal processing based on SR. This investigation shows that the sampling number per symbol should be rather large, and the minimum sampling number per symbol is deduced according to the evolution time of SR system.},
keywords={},
doi={10.1587/transcom.2017EBP3167},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - The Evolution Time of Stochastic Resonance and Its Application in Baseband Signal Sampling
T2 - IEICE TRANSACTIONS on Communications
SP - 995
EP - 999
AU - Chaowei DUAN
AU - Yafeng ZHAN
AU - Hao LIANG
PY - 2018
DO - 10.1587/transcom.2017EBP3167
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2018
AB - Stochastic resonance can improve the signal-to-noise ratio of digital baseband signals. However, the output of SR system needs some time for evolution to achieve global steady-state. This paper first analyzes the evolution time of SR systems, which is an important factor for digital baseband signal processing based on SR. This investigation shows that the sampling number per symbol should be rather large, and the minimum sampling number per symbol is deduced according to the evolution time of SR system.
ER -
English
