Sampling and Spectrum of Signals

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Introduces system properties, Laplace Transform, and analog filters for signal analysis.

Explores the sampling theorem through sinusoid reconstruction, under-sampling effects, and signal filtering importance.

Explores frequency periodicity in the discrete Fourier transform for signal reconstruction.

Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.

Explores analog-to-digital conversion using flash converters and weighted currents.

Covers the fundamentals of signal processing, analog-digital conversion, and applications of ADCs and DACs in environmental engineering.

Covers the concepts of sampling and reconstruction in signal processing, explaining the conditions for accurate reconstruction.

Explores Z-transform, system properties, and analysis of discrete systems, focusing on stability and transfer functions.

Explores Phase-Locked Loops, Lock-in Amplifiers, and Oscilloscopes in electrical metrology.