Efficient Digital Signal Process Strategy for TDLAS Gas Detection

B. Cai; B. Su; A. Collins

doi:10.1088/1742-6596/1065/25/252015

Efficient Digital Signal Process Strategy for TDLAS Gas Detection

B. Cai, B. Su, A. Collins

Research output: Contribution to a Journal (Peer & Non Peer) › Conference article › peer-review

3 Citations (Scopus)

Abstract

With the introduction of DM laser technology, TDLAS gas detection techniques are realizing mass deployment. In this paper, we investigate signal processing techniques for TDLAS and introduce an equal weight sampling strategy to greatly reduce the data processing requirement. Theoretical analysis and experiments were conducted to investigate the sampling efficiency of such a sampling strategy, and concluded that the method can potentially reduce the noise by 11%.

Original language	English
Article number	252015
Journal	Journal of Physics: Conference Series
Volume	1065
Issue number	25
DOIs	https://doi.org/10.1088/1742-6596/1065/25/252015
Publication status	Published - 13 Nov 2018
Externally published	Yes
Event	22nd World Congress of the International Measurement Confederation, IMEKO 2018 - Belfast, United Kingdom Duration: 3 Sep 2018 → 6 Sep 2018

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10.1088/1742-6596/1065/25/252015

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title = "Efficient Digital Signal Process Strategy for TDLAS Gas Detection",

abstract = "With the introduction of DM laser technology, TDLAS gas detection techniques are realizing mass deployment. In this paper, we investigate signal processing techniques for TDLAS and introduce an equal weight sampling strategy to greatly reduce the data processing requirement. Theoretical analysis and experiments were conducted to investigate the sampling efficiency of such a sampling strategy, and concluded that the method can potentially reduce the noise by 11\%.",

author = "B. Cai and B. Su and A. Collins",

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AU - Cai, B.

AU - Su, B.

AU - Collins, A.

PY - 2018/11/13

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N2 - With the introduction of DM laser technology, TDLAS gas detection techniques are realizing mass deployment. In this paper, we investigate signal processing techniques for TDLAS and introduce an equal weight sampling strategy to greatly reduce the data processing requirement. Theoretical analysis and experiments were conducted to investigate the sampling efficiency of such a sampling strategy, and concluded that the method can potentially reduce the noise by 11%.

AB - With the introduction of DM laser technology, TDLAS gas detection techniques are realizing mass deployment. In this paper, we investigate signal processing techniques for TDLAS and introduce an equal weight sampling strategy to greatly reduce the data processing requirement. Theoretical analysis and experiments were conducted to investigate the sampling efficiency of such a sampling strategy, and concluded that the method can potentially reduce the noise by 11%.

UR - https://www.scopus.com/pages/publications/85057451765

U2 - 10.1088/1742-6596/1065/25/252015

DO - 10.1088/1742-6596/1065/25/252015

M3 - Conference article

AN - SCOPUS:85057451765

SN - 1742-6588

VL - 1065

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

IS - 25

M1 - 252015

T2 - 22nd World Congress of the International Measurement Confederation, IMEKO 2018

Y2 - 3 September 2018 through 6 September 2018

ER -

Efficient Digital Signal Process Strategy for TDLAS Gas Detection

Abstract

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