Approximate Compressed Sensing: Ultra-low power biosignal processing via aggressive voltage scaling on a hybrid memory multi-core processor

@article{Bortolotti2014ApproximateCS,
  title={Approximate Compressed Sensing: Ultra-low power biosignal processing via aggressive voltage scaling on a hybrid memory multi-core processor},
  author={Daniele Bortolotti and Hossein Mamaghanian and Andrea Bartolini and Maryam Ashouei and Jan Stuijt and David Atienza and Pierre Vandergheynst and Luca Benini},
  journal={2014 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)},
  year={2014},
  pages={45-50}
}
Technology scaling enables the design of low cost biosignal processing chips suited for emerging wireless body-area sensing applications. Energy consumption severely limits such applications and memories are becoming the energy bottleneck to achieve ultra-low-power operation. When aggressive voltage scaling is used, memory operation becomes unreliable due to the lack of sufficient Static Noise Margin. This paper introduces an approximate biosignal Compressed Sensing approach. We propose a… CONTINUE READING
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