IEEE

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices

Abstract: We introduce Fact-Hash, a novel parameter-encoding method for training on-device neural radiance fields. Neural Radiance Fields (NeRF) have proven pivotal in 3D representations, but their ...
IEEE

Exploiting Complex-Valued Representations in Automatic Modulation Recognition: A Framework Integrating a Transformer With Relative Positional Encoding and Separable Convolution

Abstract: Automatic modulation recognition plays a critical role in military applications, particularly in electronic warfare, spectrum surveillance, and secure communication systems. The precise ...