Nowadays, the world of the telecommunications uses frequently wavelet analysis and fractal geometry to improve techniques and models in signal theory. Several publications have appeared in recent years due to their applications to pure and applied science. In particular, fractal sets are nowadays applied in image processing, image compression, etc. Likewise, wavelet analysis has become popular and important in telecommunications due mainly to several applications in signal processing, information theory, remote sensing, etc. In particular, signal processing has shown that the fractal-wavelet approach can shed some new light on several unsolved problems. In fact, nonlinear models are often described and approximated by pre-fractal sets and wavelet expansions, respectively. As a result, a fractal-wavelet approach is capable of providing ever more refined models for applications in signal processing. The choice of pre-fractal set and wavelet basis relies on technical requirements and nature of the problem.
Topics of interest include but are not limited to:
- Wavelet signal processing
- Fractal functions and signal analysis
- Sparse methods in signal processing
- Fractals and wavelets in radar theory
- Multiresolution methods in image compression
- Fractals and wavelets in speech processing
- Fractal models in machine learning
- Wavelets in computer vision
Date of submission deadline - 31 December 2023
Emanuel Guariglia, Wenzhou-Kean University, China
Rodrigo C. Guido, São Paulo State University, Brazil
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for EURASIP Journal on Advances in Signal Processing. The complete manuscript should be submitted through the EURASIP Journal on Advances in Signal Processing submission system. To ensure that you submit to the correct special issue please select the appropriate section in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on 'Fractal-Wavelet Techniques in Signal Processing Theory and Applications'. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
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