Fernando Cruz Roldán

Fernando Cruz Roldán is a **Professor** at the Universidad de Alcalá (UAH), affiliated with the Department of Signal Theory and Communications. He holds a PhD from UAH with a thesis on filter bank design for minimal amplitude distortion. His research focuses on signal processing, communications engineering, and biomedical applications. Key areas include OFDM systems, power line communications, filter design, and machine learning in healthcare.

His work spans theoretical advancements in multicarrier modulation (e.g., DCT-based systems) and practical applications like ECG/EEG signal compression and T-wave alternans detection. Recent contributions address AI-driven solutions in education and medical diagnostics. He has published extensively on topics such as channel estimation, intersymbol interference mitigation, and biomedical signal analysis.

Notable achievements include pioneering work on α-spline digital filters and innovative approaches to signal processing in noisy environments. His research bridges theoretical signal theory with real-world applications in telecommunications and healthcare.