output
20202024
most citedTinySV: Speaker Verification in TinyML with On-device Learning

7 citations

6 papers

cs.SD2024★ 7 cited

TinySV: Speaker Verification in TinyML with On-device Learning

Massimo Pavan, Gioele Mombelli, Francesco Sinacori +1

TinyML is a novel area of machine learning that gained huge momentum in the last few years thanks to the ability to execute machine learning algorithms on tiny devices (such as Int…

cs.AR2022

Hybrid Intelligent Testing in Simulation-Based Verification

Nyasha Masamba, Kerstin Eder, Tim Blackmore

Efficient and effective testing for simulation-based hardware verification is challenging. Using constrained random test generation, several millions of tests may be required to ac…

cs.AR2022

Supervised Learning for Coverage-Directed Test Selection in Simulation-Based Verification

Nyasha Masamba, Kerstin Eder, Tim Blackmore

Constrained random test generation is one of the most widely adopted methods for generating stimuli for simulation-based verification. Randomness leads to test diversity, but tests…

eess.SP2021

A Matched-filter based method in the Synthetic Aperture Radar Images Using FMCW radar

Moein Movafagh, Avik Santra, Daniel Oloumi

The stretch processing architecture is commonly used for frequency modulated continuous wave (FMCW) radar due to its inexpensive hardware, low sampling rate, and simple architectur…

eess.SP2021★ 1 cited

An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter

Chalukya Bhat, Aniruddh Herle, Janamejaya Channegowda +1

Internet of Things (IoT) applications have opened up numerous possibilities to improve our lives. Most of the remote devices, part of the IoT network, such as smartphones, data log…

eess.SP2020★ 3 cited

Quantized Neural Networks for Radar Interference Mitigation

Johanna Rock, Wolfgang Roth, Paul Meissner +1

Radar sensors are crucial for environment perception of driver assistance systems as well as autonomous vehicles. Key performance factors are weather resistance and the possibility…