Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker
Neuromorphic computing, inspired by biological neural networks, has emerged as a
promising approach for solving complex machine learning tasks with greater efficiency and …
promising approach for solving complex machine learning tasks with greater efficiency and …
Wavelet Based Frequency Detection Using FPGAs
C Hill, DG Perera - arXiv preprint arXiv:2412.20351, 2024 - arxiv.org
In the realm of signal processing, frequency and spectrum detection are fundamental tasks
that can be computationally intensive. This project leverages the power of FPGAs to perform …
that can be computationally intensive. This project leverages the power of FPGAs to perform …
An FPGA-Based Linear Kalman Filter for a Two-Phase Buck Converter Application
DJM Abillar - 2024 - search.proquest.com
Abstract The deployment of Linear Kalman Filters with high computational performance to
the field of multi-phase power converters has yet to be thoroughly explored in current …
the field of multi-phase power converters has yet to be thoroughly explored in current …
Towards a General Market for Cloud-Edge-IoT Continuum
H Che, H Jiang, Z Wang - arXiv preprint arXiv:2409.15047, 2024 - arxiv.org
Recent years have witnessed the proposals aiming at enabling Vertical, two-sided markets
with a Single Marketplace (or exchange)(VSMs) for computing and data resources/services …
with a Single Marketplace (or exchange)(VSMs) for computing and data resources/services …
Government Policies and Economics of Computational Modelling in Wireless Networks
Government policies and economics play a pivotal role in shaping the landscape of
computational modelling in wireless networks. As wireless communications become …
computational modelling in wireless networks. As wireless communications become …