Design of a Parallel Multi-Filtered Compressive Sampling Model

DOI

10.2991/ifeea-15.2016.10How to use a DOI?

Keywords

Compressive Sampling; Analog-to-Information; Parallel; Filter

Abstract

Based on the analysis of the existing Analog-to-Information Converter (AIC) under the framework of Compressed Sensing (CS), a novel model called the Parallel Multi-Filtered AIC (PMF-AIC) is proposed. In this model, the ideal integrators in the traditional AIC model are replaced by analog filters with non overlapping pass-bands, as a result that the independence of sampled measurements can be enhanced. Besides, precise integrate devices are not needed in PMF-AIC, so the complexity of the system is reduced. Experiments results show the feasibility of this model.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jian Sun
AU  - Jinhe Zhou
PY  - 2016/01
DA  - 2016/01
TI  - Design of a Parallel Multi-Filtered Compressive Sampling Model
BT  - Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SP  - 49
EP  - 53
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.10
DO  - 10.2991/ifeea-15.2016.10
ID  - Sun2016/01
ER  -