Advanced seismic signal processing techniques for detection and bearing estimation of footsteps and vehicular signals
This thesis is aimed towards the development of algorithms for improved detection and bearing estimation of human activities in urban surveillance systems. Human footsteps and vehicles are used as sources and seismic signals, generated from these sources, are recorded using a (buried) tri-axial geop...
Saved in:
Main Author: | Divya Venkatraman |
---|---|
Other Authors: | Andy W. H. Khong |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/69244 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Discussion on the bearing estimation of seismic signals
by: Jiao, Yipeng
Published: (2011) -
Signal processing analysis of arrhythmias detection
by: Koh, Ruben Wai Hong.
Published: (2013) -
Ambiguity resolution in footstep bearing estimation algorithms using network of vector-sensors
by: Chen, Qiuxiang
Published: (2013) -
Directional statistics approach based on instantaneous rotational parameters of tri-axial trajectories for footstep detection
by: Venkatraman, Divya, et al.
Published: (2020) -
Error analysis and suppresion in visual signal processing
by: Chang, Lanlan
Published: (2010)