Anvesha Amaravati

A 55-nm, 1.0–0.4V, 1.25-pJ/MAC Time-Domain Mixed-Signal Neuromorphic Accelerator With Stochastic Synapses for Reinforcement Learning in Autonomous Mobile Robots

Anvesha Amaravati, Saad Bin Nasir, Justin Ting et al. · IEEE Journal of Solid-State Circuits · 2018 · 43 citations

Artificial Intelligence, Engineering, Neural Networks (Machine Learning) +19

800-nA Process-and-Voltage-Invariant 106-dB PSRR PTAT Current Reference

Anvesha Amaravati, Marshnil Dave, Maryam Shojaei Baghini et al. · IEEE Transactions on Circuits & Systems II Express Briefs · 2013 · 28 citations

Low-power Electronics, Resistor Circuit, Electrical Engineering +10

Low-power low-noise analog signal conditioning chip with on-chip drivers for healthcare applications

Sanjay Joshi, Viral Thaker, Anvesha Amaravati et al. · Microelectronics Journal · 2012 · 17 citations

A sub-1V, 120 nW, PVT-variation Tolerant, Tunable and Scalable Voltage Reference with 60 d

Baibhab Chatterjee, Nirmoy Modak, Anvesha Amaravati et al. · IEEE Transactions on Nanotechnology · 2017 · 12 citations

Low-power Electronics, Electrical Engineering, Engineering +12

A 130 nm 165 nJ/frame Compressed-Domain Smashed-Filter-Based Mixed-Signal Classifier for “In-Sensor” Analytics in Smart Cameras

Anvesha Amaravati, Shaojie Xu, Justin Romberg et al. · IEEE Transactions on Circuits & Systems II Express Briefs · 2017 · 11 citations