4 citations · 5 across the 5 of their papers we have counts for
11 papers
A Dynamical Systems Framework for Generating the Riemann Zeta Function and Dirichlet L-functions
Shantanu Chakrabartty
We first construct a dynamical systems model which in its steady-state serves as an analytic continuation of the completed Riemann zeta function over the entire critical strip. The…
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers
Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur
We present a novel in-filter computing framework that can be used for designing ultra-light acoustic classifiers for use in smart internet-of-things (IoTs). Unlike a conventional a…
Using growth transform dynamical systems for spatio-temporal data sonification
Oindrila Chatterjee, Shantanu Chakrabartty
Sonification, or encoding information in meaningful audio signatures, has several advantages in augmenting or replacing traditional visualization methods for human-in-the-loop deci…
A Self-powered Analog Sensor-data-logging Device based on Fowler-Nordheim Dynamical Systems
Darshit Mehta, Kenji Aono, Shantanu Chakrabartty
Continuous, battery-free operation of sensor nodes requires ultra-low-power sensing and data-logging techniques. Here we report that by directly coupling a sensor/transducer signal…
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks
Nazreen P. M., Shantanu Chakrabartty, Chetan Singh Thakur
The new generation of machine learning processors have evolved from multi-core and parallel architectures that were designed to efficiently implement matrix-vector-multiplications…
Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems
Oindrila Chatterjee, Shantanu Chakrabartty
Traditional energy-based learning models associate a single energy metric to each configuration of variables involved in the underlying optimization process. Such models associate…