Using the Principal Component Analysis to Detect the Effective Information in Noise

DOI

10.2991/icitmi-15.2015.175How to use a DOI?

Keywords

PCA noisy signals the effective information two-dimensional seismic reflection signal

Abstract

Faced with the massive information and data, signal and information processing need to solve the problem of removing redundant information and obtain useful information. The PCA method is introduced, which can detect the effective information in noise. Taking the simulated seismic data as targets, the principle component is used to analysis the seismic data in different speeds and slopes in the first place . And then using the principle component to recover the original signals is studied. After the signal simulation experiment, the principle component effectiveness is verified further after comparing the original signals and the recovered signals not adding noise.

Copyright

© 2015, 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  - Tenglong Wang
AU  - Xiang-E Sun
PY  - 2015/10
DA  - 2015/10
TI  - Using the Principal Component Analysis to Detect the Effective Information in Noise
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 1045
EP  - 1049
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.175
DO  - 10.2991/icitmi-15.2015.175
ID  - Wang2015/10
ER  -