7 citations · 8 across the 5 of their papers we have counts for
5 papers
Bayesian De-quantization and Data Compression for Low-Energy Physiological Signal Telemonitoring
Benyuan Liu, Hongqi Fan, Qiang Fu +1
We address the issue of applying quantized compressed sensing (CS) on low-energy telemonitoring. So far, few works studied this problem in applications where signals were only appr…
Scan-based Compressed Terahertz Imaging and Real-Time Reconstruction via the Complex-valued Fast Block Sparse Bayesian Learning Algorithm
Benyuan Liu, Hongqi Fan, Zaiqi Lu +1
Compressed Sensing based Terahertz imaging (CS-THz) is a computational imaging technique. It uses only one THz receiver to accumulate the random modulated image measurements where…
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…
Fast Marginalized Block Sparse Bayesian Learning Algorithm
Benyuan Liu, Zhilin Zhang, Hongqi Fan +1
The performance of sparse signal recovery from noise corrupted, underdetermined measurements can be improved if both sparsity and correlation structure of signals are exploited. On…
The Annealing Sparse Bayesian Learning Algorithm
Benyuan Liu, Hongqi Fan, Zaiqi Lu +1
In this paper we propose a two-level hierarchical Bayesian model and an annealing schedule to re-enable the noise variance learning capability of the fast marginalized Sparse Bayes…