Design and Analysis of a Hardware-Efficient Compressed Sensing Architecture for Data Compression in Wireless Sensors

By Fred Chen, Anantha P. Chandrakasan, Vladimir Marko Stojanovic. IEEE Journal of Solid-State Circuits, 2012

376 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3a676b86ff20ed5c8eda14f69c281073532bbba2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Omid Salehi-Abari
2. Vladimir Marko Stojanovic
3. Fred Chen
4. Fabian Lim
5. Anantha P. Chandrakasan
6. Massimo Alioto

In Computational Mechanics

1. Vladimir Marko Stojanovic
2. Anantha P. Chandrakasan
3. Fred Chen

In Electrical and Electronic Engineering

1. Omid Salehi-Abari
2. Vladimir Marko Stojanovic
3. Anantha P. Chandrakasan
4. Fred Chen
5. Massimo Alioto
6. Mohamed F. Younis
7. Xuxun Liu
8. Deborah Estrin

Citations in the corpus

• Energy-Aware Design of Compressed Sensing Systems for Wireless Sensors Under Performance and Reliability Constraints (2013, methodology): “In our previous work, we highlighted the applicability of CS techniques for data compression in wireless sensors by demonstrating an energy-efficient hardware realization of the CS data encoder [18], [19].”