Skip to main content
King Abdullah University of Science and Technology
Image and Video Understanding Lab
IVUL
Image and Video Understanding Lab

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Research Staff
    • Postdoctoral Fellows
    • Students
    • Alumni
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • Collaborators
  • Openings
  • Publications

automatic modulation classification

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.

Image and Video Understanding Lab (IVUL)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice