Real-Time and Embedded Deep Learning on FPGA for RF Signal Classification

no code implementations • 13 Oct 2019 • Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek

We designed and implemented a deep learning based RF signal classifier on the Field Programmable Gate Array (FPGA) of an embedded software-defined radio platform, DeepRadio, that classifies the signals received through the RF front end to different modulation types in real time and with low power.

General Classification

A Reconfigurable Low Power High Throughput Architecture for Deep Network Training

no code implementations • 24 Mar 2016 • Raqibul Hasan, Tarek Taha

Neural networks, including deep networks, are widely used for signal processing and pattern recognition applications.

Anomaly Detection Dimensionality Reduction +1