Lectures related to Reconstruction Theorem: Sampling Theorem Elements

Explores the frequency sampling method to approximate ideal filters, useful for quick prototyping but lacking fine control over errors.

Explores the sampling of pure sinusoids, emphasizing the Nyquist theorem and its practical implications.

Explores the link between DTFT, Z-transforms, and Fourier transforms, vector analogy, and discrete signals.

Covers interactions between vector layers in GIS using QGIS tools.

Covers the importance of sampling in signal processing, including the sampling theorem and signal reconstruction.

Covers Lagrange interpolation using intervals to find accurate polynomial approximations.

Covers the principles of digital communication, focusing on the Nyquist Sampling Theorem and signal space dimension.

Covers rational sampling rate change, interpolation, Lagrange approximation, and FIR-based conversion.