scholarly journals Passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks

2005 ◽  
Author(s):  
M.Z. Rahman ◽  
G.C. Karmakar ◽  
L.S. Dooley
Keyword(s):  
Spectral Analysis ◽  
Sensor Networks ◽  
Source Localization ◽  
Power Spectral Analysis ◽  
Decision Fusion ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Power Spectral ◽  
Passive Source Localization

scholarly journals Acoustic Source Localization via Time Difference of Arrival Estimation for Distributed Sensor Networks Using Tera-Scale Optical Core Devices

2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Neena Imam ◽  
Jacob Barhen
Keyword(s):  
Sensor Networks ◽  
Source Localization ◽  
Sensor Arrays ◽  
Digital Processing ◽  
Acoustic Source ◽  
Distributed Sensor Networks ◽  
Distributed Sensor ◽  
Acoustic Source Localization ◽  
Block Algorithms ◽  
Processing Platform

For real-time acoustic source localization applications, one of the primary challenges is the considerable growth in computational complexity associated with the emergence of ever larger, active or passive, distributed sensor networks. These sensors rely heavily on battery-operated system components to achieve highly functional automation in signal and information processing. In order to keep communication requirements minimal, it is desirable to perform as much processing on the receiver platforms as possible. However, the complexity of the calculations needed to achieve accurate source localization increases dramatically with the size of sensor arrays, resulting in substantial growth of computational requirements that cannot be readily met with standard hardware. One option to meet this challenge builds upon the emergence of digital optical-core devices. The objective of this work was to explore the implementation of key building block algorithms used in underwater source localization on the optical-core digital processing platform recently introduced by Lenslet Inc. This demonstration of considerably faster signal processing capability should be of substantial significance to the design and innovation of future generations of distributed sensor networks.

Usefulness of Power Spectral Analysis for Measurement of Local Muscle Fatigue during Keyboard Task

1999 ◽  
Vol 11 (4) ◽  
pp. 449
Author(s):  
Soon Young Kwon ◽  
Chung Yill Park ◽  
Jung Wan Koo ◽  
Hyeon Woo Yim ◽  
Kang Sook Lee
Keyword(s):  
Spectral Analysis ◽  
Muscle Fatigue ◽  
Power Spectral Analysis ◽  
Power Spectral ◽  
Local Muscle Fatigue
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