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20172020
most citedAnalysis and Design Considerations for Achieving the Fundamental Limits of Phase Noise in mmWave Oscillators with On-Chip MEMS Resonator

1 citations · 2 across the 3 of their papers we have counts for

collaborators

11 papers

eess.SY20201 cited

A Wearable CMOS Biosensor with 3 Designs of Energy-Resolution Scalable Time-Based Resistance to Digital Converter

Dong-Hyun Seo, Baibhab Chatterjee, Sean Scott +3

This paper presents the design and analysis of a wearable CMOS biosensor with three different designs of energy-resolution scalable time-based resistance to digital converters (RDC…

eess.SP20201 cited

Analysis and Design Considerations for Achieving the Fundamental Limits of Phase Noise in mmWave Oscillators with On-Chip MEMS Resonator

Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat +3

Very small electromechanical coupling coefficient in micro-electromechanical systems (MEMS) or acoustic resonators is quite of a concern for oscillator performance, specially at mm…

cs.NI2020

Context-Aware Collaborative-Intelligence with Spatio-Temporal In-Sensor-Analytics in a Large-Area IoT Testbed

Baibhab Chatterjee, Dong-Hyun Seo, Shramana Chakraborty +10

Decades of continuous scaling has reduced the energy of unit computing to virtually zero, while energy-efficient communication has remained the primary bottleneck in achieving full…

cs.HC2018

Characterization and Classification of Human Body Channel as a function of Excitation and Termination Modalities

Shovan Maity, Debayan Das, Baibhab Chatterjee +1

Human Body Communication (HBC) has recently emerged as an alternative to radio frequency transmission for connecting devices on and in the human body with order(s) of magnitude low…

cs.CR2018

RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning

Baibhab Chatterjee, Debayan Das, Shovan Maity +1

Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message au…

cs.ET2018

Exploiting Inherent Error-Resiliency of Neuromorphic Computing to achieve Extreme Energy-Efficiency through Mixed-Signal Neurons

Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity +3

Neuromorphic computing, inspired by the brain, promises extreme efficiency for certain classes of learning tasks, such as classification and pattern recognition. The performance an…