Design of a Parallel Multi-Filtered Compressive Sampling Model
Jian Sun, Jinhe Zhou
Available Online January 2016.
- https://doi.org/10.2991/ifeea-15.2016.10How to use a DOI?
- Compressive Sampling; Analog-to-Information; Parallel; Filter
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/ifeea-15.2016.10 ID - Sun2016/01 ER -