Signals and Information

Continuous signals:  periodic, non-periodic and random signals. Signal power and correlation between periodic signals. Signal energy and correlation between aperiodic signals.

Fourier analyses of periodic and aperiodic signals, signal spectrum. Signal power and correlation between random signals.

Signal filtering and convolution.  Sampling and reconstruction of bandlimited signals. Pulse transmission and intersymbol interference, Nyquist theorem.

Basics of information theory: events and information measure. Information sources, entropy and source coding. Communication channel model and channel capacity.

Learning the time and frequency signal representation relationship. Mathematical formulations are supplemented with laboratory signal measurements.

Learning about basic communication channel models.

Learning about basic limitations in source and channel coding.

Lectures and practical laboratory work.