Discrete Fourier Transform with Neural Networks

Author
Akhtar, Jabran
Date Issued
2021-12-10
Keywords
Fourier-transformasjoner
Nevrale nettverk
Permalink
http://hdl.handle.net/20.500.12242/3103
DOI
10.1109/VTC2021-Fall52928.2021.9625247
Collection
Articles
Description
Akhtar, Jabran. Discrete Fourier Transform with Neural Networks. IEEE Vehicular Technology Conference (VTC) 2021
1969011.pdf
Size: 1M
Abstract
The discrete Fourier transform is an important computational tool to retrieve the frequency distribution of a sampled signal. Recent years have also witnessed considerable research activity in neural networks as a mean to solve various signal processing problems. Despite this, it has been an open issue whether a neural network can be trained to return the discrete Fourier transform of its inputs. This paper presents a training methodology for neural networks with non-linear activation functions to replicate and approximate the discrete Fourier transform.
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