Positional Encoding

[schonIs]

I am currently conducting research on applying Transformer models to EEG signals. In your paper, I learned that by combining CNN and Transformer, it is possible to learn both global and local features. However, my question is why positional encoding is not added to the data input into the Transformer after the convolution with CNN. Could you please explain the reason for this?