Periodic Signal

Periodic signals, characterized by repeating patterns over time, are central to numerous scientific and engineering disciplines, with research focusing on their accurate detection, analysis, and application. Current efforts involve developing advanced algorithms, including deep learning models and novel signal processing techniques, to extract periodic signals from noisy or complex datasets, such as those found in biomedical imaging, acoustic measurements, and financial markets. These advancements enable improved monitoring of physiological signals, enhanced predictive maintenance in industrial settings, and more sophisticated high-frequency trading strategies, ultimately impacting diverse fields through more accurate and efficient data analysis.