This lecture continues the discussion of properties of the frequency response and the shift from time to frequency domain. Examples of deconvolution in frequency-domain view, designing an ideal low-pass filter, and spectral decomposition are provided.
An introduction to several fundamental ideas in electrical engineering and computer science, using digital communication systems as the vehicle. The three parts of the course—bits, signals, and packets—cover three corresponding layers of abstraction that form the basis of communication systems like the Internet.
The course, taught by Prof. George Verghese, teaches ideas that are useful in other parts of EECS: abstraction, probabilistic analysis, superposition, time and frequency-domain representations, system design principles and trade-offs, and centralized and distributed algorithms. The course emphasizes connections between theoretical concepts and practice using programming tasks and some experiments with real-world communication channels.