Signal Processing

Signal processing focuses on analyzing, manipulating, and interpreting signals – information-bearing patterns – across various domains, aiming to extract meaningful information and improve signal quality. Current research emphasizes the integration of signal processing techniques with machine learning, particularly deep learning models like convolutional neural networks and transformers, to address challenges in areas such as audio and image processing, and to develop more efficient and robust algorithms for tasks like noise reduction, classification, and feature extraction. This interdisciplinary approach is driving advancements in diverse fields, from biomedical signal analysis and industrial monitoring to improved multimedia technologies and more efficient communication systems.