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This lecture covers the concepts of discrete signals and linear systems, including definitions of bounded signals, vector spaces, and convergence in signal spaces. It also discusses categorization examples, matrix system identification, and the algebra of linear shift-invariant operators. The lecture further explores the decomposition of convolution, impulse response, and the properties of linear systems in discrete time.