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Artificial Intelligence and Machine Learning in Optical Fiber Sensors: A Review. [PDF]

Sensors (Basel)
Cao L, Abedin S, Cui G, Wang X.
europepmc   +1 more source

Surface-engineered porous MXene-elastomer composites-based ultra-sensitive pressure sensor assembled via electrostatic interaction for human-machine interface. [PDF]

Microsyst Nanoeng
Kim D, Lee DW, Sim J.
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Transformation method of Φ-OTDR optical fiber strain and tunnel liner strain and its application in tunnel safety monitoring. [PDF]

Sci Rep
Cao K, Xie Z, Zhou F, Wang X, Tang J, Wang Z.   +5 more
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Distributed Compressed Estimation Based on Compressive Sensing

IEEE Signal Processing Letters, 2015
This letter proposes a novel distributed compressed estimation scheme for sparse signals and systems based on compressive sensing techniques. The proposed scheme consists of compression and decompression modules inspired by compressive sensing to perform distributed compressed estimation.
Songcen Xu, H Vincent Poor, Rodrigo De Lamare   +2 more
exaly   +2 more sources

Distributed compressive video sensing

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the order of that for still image encoding. In addition, compressive sensing (CS) has been applicable to directly capture compressed image data efficiently.
Li-Wei Kang, Chun-Shien Lu
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Mobile distributed compressive sensing for spectrum sensing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the ...
Veria Havary-Nassab, Shahrokh Valaee, Shahram Shahbazpanahi   +2 more
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Parallel pursuit for distributed compressed sensing

2013 IEEE Global Conference on Signal and Information Processing, 2013
We develop a greedy (pursuit) algorithm for a distributed compressed sensing problem where multiple sensors are connected over a de-centralized network. The algorithm is referred to as distributed parallel pursuit and it solves the distributed compressed sensing problem in two stages; first by a distributed estimation stage and then an information ...
Dennis Sundman, Saikat Chatterjee, Mikael Skoglund   +2 more
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Compressed Sensing for Distributed Systems

2015
This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new.
Magli Enrico, Coluccia Giulio, Ravazzi Chiara   +2 more
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