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Lecture 3: Sampling, Aliasing, Antialiasing (16)

You can think of this as a time-varying signal f(t) that is blurred in time (according to ideas later in lecture, convolved with a box-filter with a width of 1/30 in time), before being sampled 30 times a second.

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