The principles that govern sampling of signals in time are easily extended to sampling of two- and higher-dimensional signals. In this lesson the conditions required to satisfy the sampling theorem in two dimensions. Sampling is with respect to space in this case. You will learn how the highest spatial frequency of interest determines the required spacing between samples. Understanding the extension of the sampling theorem to two dimensions will prepare you to extend the sampling theorem to three- and higher- dimensional signals.
