Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...
Abstract: Digital predistortion (DPD) has proven to be an efficient method of linearizing power amplifiers (PAs). In recent years, the use of neural networks (NNs) for DPD has gained momentum. This ...
Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...