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Concept

Sampling (signal processing)

Related lectures (29)

Frequency Estimation (Theory)Log in to Mediaspace to watch this video

Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.

Quantum Computing Fundamentals Log in to Mediaspace to watch this video

Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.

Nyquist Rate and Sampling Theorem Log in to Mediaspace to watch this video

Explains the Nyquist rate and Sampling Theorem for reconstructing band-limited signals through examples and sampling techniques.

Sampling Complex Exponentials Log in to Mediaspace to watch this video

Covers the sampling of complex exponentials and the challenges of reconstruction in different scenarios.

Homodyne Receivers: Design and Challenges Log in to Mediaspace to watch this video

Explores homodyne receivers, covering DC offset, channel selection, and offset cancellation, along with challenges like even-order distortion and LO leakage.

Transition to/from Continuous Time Signals and Passband Modulation Log in to Mediaspace to watch this video

Explores the transition between continuous time signals and passband modulation techniques.

Data Representations and Processing in Machine Learning Log in to Mediaspace to watch this video

Covers data representations and processing techniques essential for effective machine learning algorithms.

Phase-Locked Loops: Basics and Applications Log in to Mediaspace to watch this video

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

Impulse-train Sampling: The Sampling Theorem Log in to Mediaspace to watch this video

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