Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.
Introduces a project-based course in communications and robotics, emphasizing practical projects and independent learning to prepare students for real-world challenges.
Explores the average triton crossing method in biomedical signal processing and the efficiency of time-domain techniques in extracting meaningful information from sensor data.
