This repository contains the implementation of our paper: "DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding", serving as a benchmark codebase for EEG decoding models. We implemented ...

Convolutional encoders As previously discussed, an encoder at the transmitter end adds redundancy to the information being sent. Figure 2 shows an implementation with a code rate of ½ and K=3. The ...

The field of voice separation has made revolutionary progress in addressing the challenging 'cocktail party problem' with the ...

Orin also includes dedicated Deep Learning Accelerators (NVDLA) for steady, power-efficient inference, keeping the GPU free ...