Application of Pattern Filtering Method in Cross-hole Tomography Signal Processing

DOI

10.2991/mbdasm-19.2019.12How to use a DOI?

Keywords

signal processing; cross-hole tomography; Pattern Filtering Method; time-frequency sub-wave; signal separation

Abstract

Noise reduction and signal separation are very important basal works in signal processing. Pattern Filtering Method（PFM） , which is introduced as a new method for signal processing in this article, is applied to cross-hole tomography signal processing. Acoustic Computed Tomography (CT) signal with noise disturbance, which is acquired from a mine, has been processed by means of PFM, different signals and noises have been separated reasonably. A powerful Pattern Filtering software has been developed by Delphi tool, and batch signals can be more efficiently processed. It is showed that PFM is a very effective tool in cross-hole tomography signal processing, and is prospective for utilization in other realms of engineering.

Copyright

© 2019, 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  - Miaorong Lv
AU  - Xu Liu
PY  - 2019/10
DA  - 2019/10
TI  - Application of Pattern Filtering Method in Cross-hole Tomography Signal Processing
BT  - Proceedings of the 2019 International Conference on Mathematics, Big Data Analysis and Simulation and Modelling (MBDASM 2019)
PB  - Atlantis Press
SP  - 51
EP  - 55
SN  - 2352-538X
UR  - https://doi.org/10.2991/mbdasm-19.2019.12
DO  - 10.2991/mbdasm-19.2019.12
ID  - Lv2019/10
ER  -