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signals and systems lecture notes complete

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This course provides a foundational understanding of signals and systems, essential for fields such as electrical engineering, electronics, and communications. It covers the mathematical representation, classification, and analysis of both continuous-time and discrete-time signals and systems. Topics include: Classification of signals (continuous/discrete, periodic/aperiodic, energy/power signals) Basic system properties (linearity, time-invariance, causality, stability) Time-domain analysis using convolution and differential/difference equations Fourier Series and Fourier Transform for signal analysis Laplace Transform and Z-Transform for system analysis Sampling theorem and its applications Introduction to filters and system response

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