Lectures in course MICRO-311(a): Signals and systems II (for MT)

Covers spectral density, cross power signals, stationarity, and Gaussian processes.

Explores second order statistics in signal processing, stationarity in random signals, and the distinction between ergodic and non-ergodic processes.

Covers quantifying information in messages, source entropy, common information, and communication channel capacity.

Explores noise filtering, signal estimation, and signal-to-noise ratio optimization through Wiener-Khintchine theorem and power spectral density.