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not at all.
This is a design/test decision to be made by you. The test machine will deliver a measure for a cerain parameter for every point within the matrix. The x-axis and the y-axis are two parameters that the test machine varies according to your demands, e.g. you could have x-axis = supply voltage, y-axis = frequency of an input signal. Or whatever combination you are interested in. The tester will evaluate the response of the chip to these two input signal (plus any number of other signals that may be needed to make the chip operational, e.g. additional supply voltages).what about the algorithm to determine whether it's a pass or a fail?
Whatever it is that the matrix represents: It is up to you to evaluate the contents and to decide which values are pass and which values are fail.this probably doesn't make sense
Now you ask:Does someone know how i can "calculate" the shmoo plot from the given data (nxn matrix).
And you introduce a new parameter:if i didn't have the matrix
And you ask:i'm also given the size
what does the size represent in this case?
A matrix here can be considered a mathematical 2-dimensional representation of a set of numbers. What these numbers mean and what the x-axis and the y-axis represent as well as how these axes are scaled (start, stop, length of an interval) is nothing per se mathematical. These are parameters that you need as input (e.g. from the person who generated the matrix). You don't need these parrameters to create the shmoo plot. The shmoo plot is simply the graphical representtaion of the matrix's content.that would mean size is the start and the end of x-axis or y-axis parameter
I'm sorry, I can't make neither head nor tails of that SIZES thing. It's maybe time to ask your instructor or a classmate what this means.what sizes? i don't know
that could be true. and i haven't seen the teacher since this task had been given but sure i'll ask him when we have the class, and classmates are as lost as i am. anyways, thanks a lot for the help!Just one guess: SIZE could be the threshold which you use to make the pass/fail decision based on the matrix cells values.