You are viewing the course site for a past offering of this course. The current offering may be found here.
Lecture 3: Sampling, Aliasing, Antialiasing (16)
Staffyirenng

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.

You must be enrolled in the course to comment