High-Pass Filtering for Accurate Reconstruction of the Brillouin Frequency Shift Profile From Brillouin Optical Frequency Domain Analysis Data
- 期刊名称IEEE Sensors Journal
- 作者Zeni, Luigi; Catalano, Ester; Coscetta, Agnese; Minardo, Aldo
- 卷第18卷
- 期第1期
- 印刷ISSN1530-437X
- 电子ISSN1558-1748
- 文件大小2691.54KB
- 发表时间2018-1-1
- DOI10.1109/JSEN.2017.2768103
- 页码185-192
[IEEE 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - Ottawa, ON (2017.10.5-2017.10.7)] 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - IEEE IRIS2017 table of contents2017
[IEEE 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - Ottawa, ON, Canada (2017.10.5-2017.10.7)] 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - IEEE IRIS2017 authors index2017
[IEEE 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - Ottawa, ON, Canada (2017.10.5-2017.10.7)] 2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS) - [Front cover]2017
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[IEEE 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) - Subotica, Serbia (2017.9.14-2017.9.16)] 2017 IEEE 15th International Symposium on Intelligent Systems and Informatics (SISY) - [Front cover]2017