Lecture
Signal Sampling and Reconstruction
In course
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Description
This lecture covers the concepts of signal sampling and reconstruction, including impulse trains, band-limited signals, the sampling theorem, aliasing, and examples of signal reconstruction using low-pass filters. The instructor explains the process of reconstructing a signal from its samples, ensuring the sampling theorem is satisfied to avoid aliasing. Various examples are provided to illustrate the application of these concepts in practice.
Instructors (2)
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