Signals and Systems: Mathematical Description and Identification Strategies

This lecture covers the purpose of signals and systems, mathematical description, stability, types of systems, input signals, vector and signal analogy, matrix and linear system analogy, canonical basis, continuous signals, matrix system identification, linear transformation, notations and conventions, convolution product, equality of dot products, classical equality, fundamental signals, exponential function, rectangular signals, and distributions.