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Communication and Sensing aspects of Sensor Networks, Wireless and Ad-Hoc Networks

Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks


This paper addresses channel-robust compressed sensing (CS) acquisition of sparse sources under complexity-constrained encoding over noisy channels in wireless sensor networks. We propose a single-sensor joint source-channel coding method based on channel-optimized vector quantization by designing a CS-aware encoder-decoder pair to minimize the end-to-end mean square error (MSE) distortion of the signal reconstruction. As our key target is to obtain tolerable encoding complexity at the resource-limited sensor, the method relies on vector pre-quantization of the measurement space.

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Authors:
Marian Codreanu, Markku Juntti
Submitted On:
23 February 2016 - 1:44pm
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[GlobalSIP15]_Leinonen.pdf

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[1] Marian Codreanu, Markku Juntti, "Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/272. Accessed: Oct. 24, 2020.
@article{272-15,
url = {http://sigport.org/272},
author = {Marian Codreanu; Markku Juntti },
publisher = {IEEE SigPort},
title = {Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks},
year = {2015} }
TY - EJOUR
T1 - Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks
AU - Marian Codreanu; Markku Juntti
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/272
ER -
Marian Codreanu, Markku Juntti. (2015). Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks. IEEE SigPort. http://sigport.org/272
Marian Codreanu, Markku Juntti, 2015. Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks. Available at: http://sigport.org/272.
Marian Codreanu, Markku Juntti. (2015). "Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks." Web.
1. Marian Codreanu, Markku Juntti. Channel-Robust Compressed Sensing via Vector Pre-Quantization in Wireless Sensor Networks [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/272

Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts


Telemonitoring of biosignals is a growing area of research due to the aging world population. Telemonitoring utilizes a wireless body-area network (WBAN) consisting of wearable biosignal sensors equipped with ultra low power radios. The measured data from each sensor on the patient is sent to a smartphone, which then sends the data to a healthcare provider via the internet. To enable real-time telemonitoring of the biosignals, it is desirable to have accurate timestamped data from the sensors in the WBAN.

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23 February 2016 - 1:43pm
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Ramlall SigPort 2.pdf

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[1] , "Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/215. Accessed: Oct. 24, 2020.
@article{215-15,
url = {http://sigport.org/215},
author = { },
publisher = {IEEE SigPort},
title = {Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts},
year = {2015} }
TY - EJOUR
T1 - Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/215
ER -
. (2015). Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts. IEEE SigPort. http://sigport.org/215
, 2015. Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts. Available at: http://sigport.org/215.
. (2015). "Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts." Web.
1. . Wireless Body-Area Network Time Synchronization using R Peak Reference Broadcasts [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/215

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