Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications

Hans Peter Bernhard; Andreas Springer

doi:10.1109/MASS.2017.9

Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	444-451
Number of pages	8
ISBN (Electronic)	9781538623237
DOIs	https://doi.org/10.1109/MASS.2017.9
Publication status	Published - 14 Nov 2017
Event	14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 - Orlando, United States Duration: 22 Oct 2017 → 25 Oct 2017

Publication series

Name	Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Conference

Conference	14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017
Country/Territory	United States
City	Orlando
Period	22.10.2017 → 25.10.2017

Fields of science

202033 Radar technology
202019 High frequency engineering
202038 Telecommunications
202037 Signal processing
202030 Communication engineering
202029 Microwave engineering

JKU Focus areas

Digital Transformation

Access to Document

10.1109/MASS.2017.9

Cite this

Bernhard, H. P., & Springer, A. (2017). Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications. In Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 (pp. 444-451). Article 8108777 (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MASS.2017.9

Bernhard, Hans Peter ; Springer, Andreas. / Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications. Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 444-451 (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017).

@inproceedings{5c9e75340e0c4773bea453e8ceeb7ac2,

title = "Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications",

keywords = "aliasing, estimation error, fundamental frequency estimation, low complexity, point process, pulse signals, sparse process",

author = "Bernhard, \{Hans Peter\} and Andreas Springer",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017 ; Conference date: 22-10-2017 Through 25-10-2017",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/MASS.2017.9",

language = "English",

series = "Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "444--451",

booktitle = "Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017",

}

Bernhard, HP & Springer, A 2017, Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications. in Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017., 8108777, Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 444-451, 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017, Orlando, United States, 22.10.2017. https://doi.org/10.1109/MASS.2017.9

Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications. / Bernhard, Hans Peter ; Springer, Andreas.
Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 444-451 8108777 (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications

AU - Bernhard, Hans Peter

AU - Springer, Andreas

PY - 2017/11/14

Y1 - 2017/11/14

KW - aliasing

KW - estimation error

KW - fundamental frequency estimation

KW - low complexity

KW - point process

KW - pulse signals

KW - sparse process

UR - https://www.scopus.com/pages/publications/85040623580

U2 - 10.1109/MASS.2017.9

DO - 10.1109/MASS.2017.9

M3 - Conference proceedings

AN - SCOPUS:85040623580

T3 - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

SP - 444

EP - 451

BT - Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017

Y2 - 22 October 2017 through 25 October 2017

ER -

Bernhard HP , Springer A. Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications. In Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 444-451. 8108777. (Proceedings - 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2017). doi: 10.1109/MASS.2017.9

Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications

Publication series

Conference

Fields of science

JKU Focus areas

Access to Document

Other files and links

FASAN- Flexible Autonome Sensorik in industriellen Anwendungen

DEWI - Dependable Embedded Wireless Infrastructure

Cite this

Estimation of Time Variant System Clock Period for Wireless Sensor Network Applications

Publication series

Conference

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

FASAN- Flexible Autonome Sensorik in industriellen Anwendungen

DEWI - Dependable Embedded Wireless Infrastructure

Cite this