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.
Covers statistical signal processing tools for wireless communications, focusing on signals like train of pulses, harmonic signals, and smooth spectrum signals.
Covers the evolution of wireless technologies, components of a communication system, digital signal encoding, modulation, radio spectrum, wireless channel challenges, receiver tasks, and synchronized detection.
