Canonical Representation of Discrete Signals

This lecture covers the canonical representation of discrete signals as a linear combination of dispersed pulses, sampling, point transformations, sliding statistics, shift operators, and signal vector spaces. It also delves into finite energy signal spaces and the underlying mathematical structure of discrete signals.