Quantization Effects in an Analog-to-Information Front End in EEG Telemonitoring

@article{Wang2015QuantizationEI,
  title={Quantization Effects in an Analog-to-Information Front End in EEG Telemonitoring},
  author={Aosen Wang and Wenyao Xu and Zhanpeng Jin and Fang Gong},
  journal={IEEE Transactions on Circuits and Systems II: Express Briefs},
  year={2015},
  volume={62},
  pages={104-108}
}
Energy in wireless communication is the dominant sector of the energy consumption in electroencephalography (EEG) telemonitoring due to intrinsically high throughput. Analog-to-information conversion, i.e., compressed sensing (CS), offers a promising solution to attack this problem. Most of previous research work on CS focus on the sparse representation to reduce the signal dimension, but the impact of quantization in CS has had limited examination in the research community. In this brief, we… CONTINUE READING

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