Search Results for author: Baibhab Chatterjee

Found 12 papers, 0 papers with code

Sub-1ms Instinctual Interference Adaptive GaN LNA Front-End with Power and Linearity Tuning

no code implementations27 Nov 2022 Jie Yang, Baibhab Chatterjee, Mohammad Abu Khater, Mattias Thorsell, Sten E. Gunnarsson, Tero Kiuru, Shreyas Sen

The system permits an LNA power consumption to tune from 500 mW to 2 W (4X increase) in order to adjust the linearity from P\textsubscript{1dB, IN}=-10. 5 dBm to 0. 5 dBm (>10X increase).

TD-BPQBC: A 1.8μW 5.5mm3 ADC-less Neural Implant SoC utilizing 13.2pJ/Sample Time-domain Bi-phasic Quasi-static Brain Communication

no code implementations24 Sep 2022 Baibhab Chatterjee, K Gaurav Kumar, Shulan Xiao, Gourab Barik, Krishna Jayant, Shreyas Sen

Untethered miniaturized wireless neural sensor nodes with data transmission and energy harvesting capabilities call for circuit and system-level innovations to enable ultra-low energy deep implants for brain-machine interfaces.

Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants

no code implementations18 May 2022 Baibhab Chatterjee, Mayukh Nath, Gaurav Kumar K, Shulan Xiao, Krishna Jayant, Shreyas Sen

To solve the challenge of powering and communication in a brain implant with low end-end channel loss, we present Bi-Phasic Quasistatic Brain Communication (BP-QBC), achieving < 60dB worst-case end-to-end channel loss at a channel length of 55mm, by avoiding the transduction losses during field-modality conversion.

Blocking

Channel Modeling for Physically Secure Electro-Quasistatic In-Body to Out-of-Body Communication with Galvanic Tx and Multimodal Rx

no code implementations27 Apr 2022 Arunashish Datta, Mayukh Nath, Baibhab Chatterjee, Nirmoy Modak, Shreyas Sen

Increasing number of devices being used in and around the human body has resulted in the exploration of the human body as a communication medium.

A Quantitative Analysis of Physical Security and Path Loss With Frequency for IBOB Channel

no code implementations27 Apr 2022 Arunashish Datta, Mayukh Nath, Baibhab Chatterjee, Shovan Maity, Shreyas Sen

Security vulnerabilities demonstrated in implantable medical devices have opened the door for research into physically secure and low power communication methodologies.

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link

no code implementations27 May 2021 Gaurav Kumar K, Baibhab Chatterjee, Shreyas Sen

The recent introduction of open source Process Development Kit (OpenPDK) by Skywater technologies in June 2020 has eliminated the barriers to Application-Specific Integrated Circuit (ASIC) design, which is otherwise considered expensive and not easily accessible.

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

no code implementations13 May 2020 Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat, Yanbo He, Dana Weinstein, Shreyas Sen

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

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

no code implementations13 Jun 2018 Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Ayan Biswas, Kaushik Roy, Shreyas Sen

In this work, we will analyze, compare and contrast existing neuron architectures with a proposed mixed-signal neuron (MS-N) in terms of performance, power and noise, thereby demonstrating the applicability of the proposed mixed-signal neuron for achieving extreme energy-efficiency in neuromorphic computing.

General Classification

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

no code implementations3 May 2018 Baibhab Chatterjee, Debayan Das, Shovan Maity, Shreyas Sen

Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message authentication codes (HMAC), which suffer from key recovery attacks.

BIG-bench Machine Learning

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

no code implementations2 May 2018 Baibhab Chatterjee, Debayan Das, Shreyas Sen

Physical unclonable functions (PUF) in silicon exploit die-to-die manufacturing variations during fabrication for uniquely identifying each die.

BIG-bench Machine Learning

An Energy-Efficient Mixed-Signal Neuron for Inherently Error-Resilient Neuromorphic Systems

no code implementations24 Oct 2017 Baibhab Chatterjee, Priyadarshini Panda, Shovan Maity, Kaushik Roy, Shreyas Sen

This work presents the design and analysis of a mixed-signal neuron (MS-N) for convolutional neural networks (CNN) and compares its performance with a digital neuron (Dig-N) in terms of operating frequency, power and noise.

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