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Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study

Abstract: 

Compressive information acquisition is a natural approach for low-power hardware front ends, since most natural signals are sparse in some basis. Key design questions include the impact of hardware impairments (e.g., nonlinearities) and constraints (e.g., spatially localized computations) on the fidelity of information acquisition. Our goal in this paper is to obtain specific insights into such issues through modeling of a Large Area Electronics (LAE)-based image acquisition system. We show that compressive information acquisition is robust to stochastic nonlinearities, and that appropriately designed spatially localized computations are effective, by evaluating the performance of reconstruction and classification based on the information acquired.

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Paper Details

Authors:
Tiffany Moy, Upamanyu Madhow, Naveen Verma
Submitted On:
8 March 2017 - 3:42am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Soorya Gopalakrishnan
Paper Code:
CIM-P1.6
Document Year:
2017
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Document Files

Comp_Info_Acq_ICASSP17_Poster.zip

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[1] Tiffany Moy, Upamanyu Madhow, Naveen Verma, "Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1702. Accessed: Jun. 25, 2017.
@article{1702-17,
url = {http://sigport.org/1702},
author = {Tiffany Moy; Upamanyu Madhow; Naveen Verma },
publisher = {IEEE SigPort},
title = {Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study},
year = {2017} }
TY - EJOUR
T1 - Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study
AU - Tiffany Moy; Upamanyu Madhow; Naveen Verma
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1702
ER -
Tiffany Moy, Upamanyu Madhow, Naveen Verma. (2017). Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study. IEEE SigPort. http://sigport.org/1702
Tiffany Moy, Upamanyu Madhow, Naveen Verma, 2017. Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study. Available at: http://sigport.org/1702.
Tiffany Moy, Upamanyu Madhow, Naveen Verma. (2017). "Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study." Web.
1. Tiffany Moy, Upamanyu Madhow, Naveen Verma. Compressive Information Acquisition with Hardware Impairments and Constraints: A Case Study [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1702