150 citations · 209 across the 9 of their papers we have counts for
9 papers
Arithmetic Average Density Fusion -- Part I: Some Statistic and Information-theoretic Results
Tiancheng Li, Yan Song, Enbin Song +1
Finite mixture such as the Gaussian mixture is a flexible and powerful probabilistic modeling tool for representing the multimodal distribution widely involved in many estimation a…
From Target Tracking to Targeting Track: A Data-Driven Yet Analytical Approach to Joint Target Detection and Tracking
Tiancheng Li, Yan Song, Hongqi Fan
This paper addresses the problem of real-time detection and tracking of a non-cooperative target in the challenging scenario with almost no a-priori information about target birth,…
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion
Tiancheng Li, Hongqi Fan, Jesús G. Herrero +1
Two fundamental approaches to information averaging are based on linear and logarithmic combination, yielding the arithmetic average (AA) and geometric average (GA) of the fusing i…
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…
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…
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…