I want to clear my thinking on how to approach problems of the type characterized below.
I guess what we want to do is select a sample rate of a sufficient size such that this signal can be fully captured therein but also small enough so as not to waste all the space from 0 to, 156? (77*2).
I've seen in some examples that if we select a sampling rate that is some integer multiple of this rate then we can use one that is much lower than the nyquist frequency, taking advantage of the property of replication.
So maybe for part (a), this would just have the same thing repeated over and over every 56 MHz? and How about specral inversion, would every other sample be inverted?
For part (b) maybe it's 56/2 = 28? or maybe it's 77/2?
For part (c) are we meant to think about the
fs' < 2fc-B/m
or maybe the
2fc-B/m > fs > 2fc+B/m+1
I guess m in this situation is 56? And B is 14? But how about the transition of B, it doesn't drop down straight but it flares out at the bottom, how to think about that? And I guess fc = 70?
EDIT: (reaction to Matt L.'s answer)
Is the image below what you had in mind for part (a)?
But why don't we take the bandwidth into account? Furthermore, in the image it seems that the 14MHz indicated there as the bandwidth doesnt completely describe the size of B since it seems to flare out at the ends, how about that?
So can we generalize that equation to be that for any time we are performing that undersampling we can get the location of all the replications by:
'Highest frequency component for which we must account' - ('number of K term' * 'sampling rate')
and sampling rate must be > 2B
Why did you only calculate for two terms? could be go on? can we do k = 3, 4, 5, 6... ?
I guess you mean the answer to part (b) is 14 because it's the smallest positive spectral component right?
& for (c) you mean f1 = 14 MHz = 70MHz - fs