Explores the transition to terahertz frequencies and energy efficiency in future wireless networks, emphasizing the move towards sustainable and high-speed communication.
Delves into the fundamental limits of gradient-based learning on neural networks, covering topics such as binomial theorem, exponential series, and moment-generating functions.
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.
