10: Sampling and Reconstruction
- Page ID
- 22906
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- 10.1: Signal Sampling
- This module introduces sampling of a continuous time signal to produce a discrete time signal, including a computation of the spectrum of the sampled signal and a discussion of its implications for reconstruction.
- 10.2: Sampling Theorem
- This module builds on the intuition developed in the sampling module to discuss the Nyquist-Shannon sampling theorem, including a full statement and a proof.
- 10.3: Signal Reconstruction
- This module describes the reconstruction, also known as interpolation, of a continuous time signal from a discrete time signal, including a discussion of cardinal spline filters.
- 10.4: Perfect Reconstruction
- This module examines the conditions and filters involved in perfect reconstruction.
- 10.5: Aliasing Phenomena
- This module introduces aliasing phenomena and discusses its implications for reconstruction.
- 10.6: Anti-Aliasing Filters
- This module discusses the use of anti-aliasing filters when sampling at a rate below the Nyquist frequency.
- 10.7: Discrete Time Processing of Continuous Time Signals
- This module discusses the theory and practical considerations behind the use of discrete time tools to process of continuous time signals.