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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 spiking neural networks Radio frequency devices FPGA cognitive wireless systems Wireless Systems

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

Computer, Electrical and Mathematical Sciences and Engineering (CEMSE)

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