You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Frequency domain, multi-tone harmonic balance, simulation of scattering parameters and noise in nonlinear circuits containing Josephson junctions. Scattering parameter conversion and interconnection.
[PIMRC2024] Official Pytorch implementation of "Human Detection Based on Learning and Classification of Radio Scattering Parameters and Para-Hermitian Eigenvalue Decomposition"
This project utilizes TensorFlow and Keras to apply neural networks (Basic, LSTM, and GRU) to predict input parameters for a human head-antenna system using scattering parameters. The GRU model consistently outperforms others, showcasing its potential for accurate predictions