IQFormerLite: a hardware-efficient framework for real-time automatic modulation recognition on edge NPUs
This paper aims to address the deployment gap between recent automatic modulation recognition (AMR) models and real-time edge neural processing unit (NPU) inference, where parameter redundancy, hardware-incompatible operators and costly fixed frequency-domain preprocessing limit practical use. IQFormerLite i...