- 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.