Quantized Compressive Sensing for Low-Power Data Compression and Wireless Telemonitoring

In low-power wireless telemonitoring, physiological signals must be compressed before transmission to extend battery life. In this paper, we propose a two-stage data compressor based on quantized compressive sensing (QCS), where signals are first compressed by compressive sensing with a 50% compression ratio and then quantized with 2 bits per measurement… CONTINUE READING