In 1.37, we introduced the concept of correlation functions. It is often important in
Chapter 1, Problem 1.45(choose chapter or problem)
In 1.37, we introduced the concept of correlation functions. It is often important in practice to compute the correlation function cf>hx(t), where h(t) is a fixed given signal, but where x(t) may be any of a wide variety of signals. In this case, what is done is to design a systemS with input x(t) and output cf>hx(t). (a) IsS linear? IsS time invariant? IsS causal? Explain your answers. (b) Do any of your answers to part (a) change if we take as the output cf>xh(t) rather than cf>hx(t)?
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