Lectures related to Sampling strategies

Covers the importance of sampling, signal reconstruction, and aliasing in digital representation.

Covers the analysis and properties of Linear Time-Invariant (LTI) systems.

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Explores signal filtering using low-pass filters to reduce noise and distortions in signals, showcasing frequency suppression and smoothing effects.

Discusses memory cache organization and signal filtering techniques using a moving average filter to recover desired signals.

Covers the design and implementation of active filters, focusing on second-order and high-order realizations.

Covers Chebyshev polynomials, all-pole filter design, RLC filters, and active-RC and OTA-C filter implementations.

Explores digital Butterworth filter design, covering scaling, stable poles, and filter application.

Covers digital RII filters, elliptical and Chebyshev filters, frequency transformations, and filter realization.

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.