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20172025
most citedAnalog Signal Compression and Multiplexing Techniques for Healthcare Internet of Things

16 citations · 128 across the 20 of their papers we have counts for

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Showing 2019Show all

13 papers · 1 filter

eess.SY2019★ 13 cited

UW-MARL: Multi-Agent Reinforcement Learning for Underwater Adaptive Sampling using Autonomous Vehicles

Mehdi Rahmati, Mohammad Nadeem, Vidyasagar Sadhu +1

Near-real-time water-quality monitoring in uncertain environments such as rivers, lakes, and water reservoirs of different variables is critical to protect the aquatic life and to…

eess.IV2019★ 9 cited

Real-time Image Enhancement for Vision-based Autonomous Underwater Vehicle Navigation in Murky Waters

Wenjie Chen, Mehdi Rahmati, Vidyasagar Sadhu +1

Classic vision-based navigation solutions, which are utilized in algorithms such as Simultaneous Localization and Mapping (SLAM), usually fail to work underwater when the water is…

eess.SP2019★ 12 cited

Low-power All-analog Circuit for Rectangular-type Analog Joint Source Channel Coding

Xueyuan Zhao, Vidyasagar Sadhu, Dario Pompili

A low-complexity all-analog circuit is proposed to perform efficiently Analog Joint Source Channel Coding (AJSCC), which can compress two or more sensor signals into one with contr…

cs.ET2019★ 5 cited

Towards Ultra-low-power Realization of Analog Joint Source-Channel Coding using MOSFETs

Vidyasagar Sadhu, Sanjana Devaraj, Dario Pompili

Certain sensing applications such as Internet of Things (IoTs), where the sensing phenomenon may change rapidly in both time and space, requires sensors that consume ultra-low powe…

eess.SP2019★ 11 cited

Towards Low-power Wearable Wireless Sensors for Molecular Biomarker and Physiological Signal Monitoring

Xueyuan Zhao, Vidyasagar Sadhu, Tuan Le +2

A low-power wearable wireless sensor measuring both molecular biomarkers and physiological signals is proposed, where the former are measured by a microfluidic biosensing system wh…

eess.SP2019★ 14 cited

Improved Circuit Design of Analog Joint Source Channel Coding for Low-power and Low-complexity Wireless Sensors

Xueyuan Zhao, Vidyasagar Sadhu, Anthony Yang +1

To enable low-power and low-complexity wireless monitoring, an improved circuit design of Analog Joint Source Channel Coding (AJSCC) is proposed for wireless sensor nodes. This inn…