Mathematics of Digital Signal Processing: Algorithms, Techniques, and Practical Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 29
Special Issue Editor
Interests: electronics for aeronautics; autonomous systems; aerial vehicles; embedded systems; biomedical systems; artificial intelligence. microelectronics
Special Issue Information
Dear Colleagues,
Digital Signal Processing was first introduced in the seminal book Digital Signal Processing by A. V. Oppenheim in 1978, and since then, it has evolved with the field of Applied Mathematics. A. V. Oppenheim and R. W. Schafer published Discrete-Time Signal Processing in 1989, and this jumpstarted a fast and comprehensive evolution, with the application of Cooley and Tukey’s An Algorithm for the Machine Computation of Complex Fourier Series in 1965. Consequently, this evolution made possible the design of complex and sophisticated digital signal equipment, such as radars, radio transmitters/receivers, and so on, and gave way to the calculation basis of artificial intelligence.
This Special Issue focuses on advances in the following areas:
- Fractional Fourier Transforms and Applications;
- Algorithms for Post-quantic Cryptography;
- Advances in digital transforms: Fourier, Wavelets, Winograd;
- Mathematical Models for Machine Learning;
- Low-latency and ultra-reliable processing and communication;
- Artificial Intelligence and Machine Learning Embedded in Microelectronic Circuits.
Prof. Dr. Osamu Saotome
Guest Editor
Manuscript Submission Information
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Keywords
- fractional fourier transform models
- post-quantic cryptography
- digital transforms
- multirate digital filters
- embedded electronic subsystems
- artificial intelligence
- machne learning
- microelectronic circuits
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