@inproceedings{0ac288d0baee40c2b9d28369ff7491f4,
title = "A compressed-sensing sensor-on-chip incorporating statistics collection to improve reconstruction performance",
abstract = "Reconstructing signals accurately is a critical aspect of compressed sensing. We propose a compressed-sensing sensor-on-chip that compresses and also extracts key statistics of the input signal at sampling time. These statistics can be used at the receiver to significantly improve the accuracy of reconstruction. When compared against a conventional compressed-sensing system, our experimental measured results demonstrate an improvement of as much as 9-18 dB in the signal-to-error (SER) of the reconstructed signal, depending on input data type and compression factor.",
keywords = "compressed sensing, reconstruction error, sensor-on-chip, statistics collection",
author = "Vahid Behravan and Shuo Li and Glover, {Neil E.} and Chia-Hung Chen and Mohammed Shoaib and Temes, {Gabor C.} and Chiang, {Patrick Y.}",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/CICC.2015.7338429",
language = "English",
series = "Proceedings of the Custom Integrated Circuits Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE Custom Integrated Circuits Conference, CICC 2015",
address = "United States",
note = "IEEE Custom Integrated Circuits Conference, CICC 2015 ; Conference date: 28-09-2015 Through 30-09-2015",
}