THEORETICAL AND PRACTICAL ASPECTS OF FOURIER SERIES AND INTEGRAL TRANSFORMATIONS
Keywords:
Fourier series, Fourier transform, integral transforms, medical imaging and Fourier analysis, biometric identification, artificial intelligence and Fourier analysis.Abstract
In the current era of digital technologies, signal and image processing is widely used in various fields, including medicine, communications, audio and video technologies, artificial intelligence, and engineering. In these processes, Fourier analysis, that is, Fourier series and integral transforms, is one of the main mathematical methods for performing such important tasks as determining the composition of signals and images, their compression and filtering. This makes it easier to analyze signals and images, clear them of noise, and compress data. This article provides a detailed analysis of the basic concepts of Fourier series and integral transforms, their mathematical foundations, and areas of practical application.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.