The reverse is of course different. Now, what happens, if I have a signal (Refer Slide Time: 12:36) here, I can break it down to this. But, if I have these A omegas, if I add them all up, because there is a phase involved, this beta i value (Refer Slide Time: 12:44) – depending on what beta i I take, I end up getting different kind of signals. This I will come later on. These are phase parts. See if I sum it all up depending on where… See this phase means where I start it from; I could start it from 0 here; I could start it from slightly here, etcetera. I can shift it and add it all up. If I do that, I will end up getting different signals. So, there is non-uniqueness, comes from that. But, if I do have a random signal, if I break it down, I will get a unique omega versus A omega. That is unique; that means, I can tell, this is composed of how many or in what way sine curves of amplitude; that is, omega versus A omega. That is this graph