Data-Driven Sampling Matrix Boolean Optimization for Energy-Efficient Biomedical Signal Acquisition by Compressive Sensing

• Main Authors: Wang, Yuhao, Li, Xin, Xu, Kai, Ren, Fengbo, Yu, Hao
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2017
• Subjects: Low power sensor; Compressive sensing
• Online Access: https://hdl.handle.net/10356/82294; http://hdl.handle.net/10220/43517
• Institution: Nanyang Technological University

Compressive sensing is widely used in biomedical applications, and the sampling matrix plays a critical role on both quality and power consumption of signal acquisition. It projects a high-dimensional vector of data into a low-dimensional subspace by matrix-vector multiplication. An optimal sampling...