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Applications of Fourier Series in Signal & Image Processing System

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This analysis shows how Fourier series enhance signal processing and image analysis, indicating significant advancements in AI-driven imaging.

Fourier series enable efficient decomposition of signals, aiding in noise reduction and data compression.
Image processing techniques utilize Fourier methods for tasks such as edge detection and medical reconstruction.
Hybrid models combining Fourier analysis with wavelets further enhance applications in areas like 5G and quantum computing.
Although limitations exist for non-stationary signals, Fourier series remain crucial in technology and engineering.

Borkute et al. (2025) studied this question.

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This analysis shows how Fourier series enhance signal processing and image analysis, indicating significant advancements in AI-driven imaging.