890 citations · 3.4k across the 17 of their papers we have counts for
4 papers · 1 filter
Compressed Sensing for Energy-Efficient Wireless Telemonitoring: Challenges and Opportunities
Zhilin Zhang, Bhaskar D. Rao, Tzyy-Ping Jung
As a lossy compression framework, compressed sensing has drawn much attention in wireless telemonitoring of biosignals due to its ability to reduce energy consumption and make poss…
Energy Efficient Telemonitoring of Physiological Signals via Compressed Sensing: A Fast Algorithm and Power Consumption Evaluation
Benyuan Liu, Zhilin Zhang, Gary Xu +2
Wireless telemonitoring of physiological signals is an important topic in eHealth. In order to reduce on-chip energy consumption and extend sensor life, recorded signals are usuall…
Compression via Compressive Sensing : A Low-Power Framework for the Telemonitoring of Multi-Channel Physiological Signals
Benyuan Liu, Zhilin Zhang, Hongqi Fan +1
Telehealth and wearable equipment can deliver personal healthcare and necessary treatment remotely. One major challenge is transmitting large amount of biosignals through wireless…
Robust Face Recognition via Block Sparse Bayesian Learning
Taiyong Li, Zhilin Zhang
Face recognition (FR) is an important task in pattern recognition and computer vision. Sparse representation (SR) has been demonstrated to be a powerful framework for FR. In genera…