Compression of Recurrent Neural Networks using Matrix Factorization

1 code implementation • 19 Oct 2023 • Lucas Maison, Hélion du Mas des Bourboux, Thomas Courtat

Compressing neural networks is a key step when deploying models for real-time or embedded applications.

A light neural network for modulation detection under impairments

1 code implementation • 27 Mar 2020 • Thomas Courtat, Hélion du Mas des Bourboux

We present a neural network architecture able to efficiently detect modulation scheme in a portion of I/Q signals.

Automatic Modulation Recognition