Sampling strategies

Related lectures (31)

Page 2 of 4

Explores ideal low-pass filtering of signals to reduce noise and distortions.

Explains how to fit the transmitter spectrum within the channel's bandwidth constraints.

Explores the impact of undersampling on signals and the solution of pre-filtering to avoid the stroboscopic effect.

Explores system analysis in the frequency domain, covering sinusoidal transfer functions, resonant frequencies, and filter design.

Covers the frequency response of linear systems and filter design principles.

Explores impulse truncation to approximate ideal filters, leading to the Gibbs Phenomenon.

Explores resonance, pole-zero effects, filter synthesis, and Butterworth filter properties.

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

Explores noise reduction techniques in electrical metrology, covering properties of charge, current, voltage, noise sources, and filtering methods.

Covers signal sampling, reconstruction, aliasing, and examples of signal reconstruction using low-pass filters.