Nyquist–Shannon sampling theorem

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Explores the sampling theorem, illustrating signal reconstruction and the importance of meeting the Nyquist criterion.

Covers the interpolation formula to reconstruct a signal from its sampled version.

Explores analog-to-digital conversion principles, covering resolution, sampling rate, and conversion characteristics.

Delves into image processing, emphasizing sampling theory, aliasing, and reconstruction processes.

Covers signal modulation, sampling, and their applications in communication systems.

Covers impulse-train sampling, the sampling theorem, and reconstructing signals from samples in the frequency domain.

Explores Fourier analysis, sampling, and signal reconstruction quality assessment through practical experiments.

Compares lab-based measurement systems with body-worn sensors for daily life monitoring, discussing their advantages and limitations.

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

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