sparse computation

Efficient Spike Encoding for Sigma-Delta RF Receivers: An End-to-End Neuromorphic Radio Classification System

Kuilian Yang, Ph.D. Student, Electrical and Computer Engineering

May 12, 17:30 - 19:30

B2 R5209

automatic modulation classification cognitive wireless systems spiking neural networks edge computing FPGA accelerators sparse computation streaming dataflow FPGA

This dissertation investigates efficient streaming Spiking Neural Network (SNN) accelerators for RF AMC through coordinated system, execution-model, and architectural co-design.