Title
Simultaneous Reconstruction Of Undersampled Multichannel Signals With A Decayed And Time-Delayed Common Component
Abstract
This paper presents a new signal model in distributed compressed sensing (DCS) and a reconstruction algorithm to reduce the number of samples required to accurately reconstruct signals obtained via sensors. While the conventional signal models in DCS assume that all signals include exactly the same common component, our model exploits the attenuation and time delay of the common component. With this extension, one can deal with signals originated from a source located in the field. To reconstruct such signals, we developed a new algorithm based on the alternative direction multiplier method. The algorithm efficiently reconstructs computer-generated signals using a reduced number of samples. In addition, we demonstrate the superior reconstruction quality with our method by using real electromyographic signals.
Year
DOI
Venue
2013
10.1109/ICASSP.2013.6638372
2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
Keywords
Field
DocType
Distributed Compressed Sensing, Sensor Network, Alternative Direction Method
Pattern recognition,Computer science,Algorithm,Multiplier method,Speech recognition,Reconstruction algorithm,Artificial intelligence,Attenuation,Signal reconstruction,Compressed sensing
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
10
3
Name
Order
Citations
PageRank
Yoshifumi Shiraki101.69
Yutaka Kamamoto23910.01
Takehiro Moriya38924.08