Deep Learning, Attention, Transformers, Optical Computing, AI.
signal is denoted x, this may be spatial or temporal, for instance a sound wave or an image. The output of the DFT is a complex valued vector X. Each element of X encodes a frequency term, and is obtained by multiplying every element of x with a complex exponential then summing up these products.