The PDF, autocorrelation function and spectrum of the system
output, when the input is
Gaussian White Noise with P = 1.
The input-output cross-correlation and cross-spectrum for the
same input in #1 above.
You are given the system configuration shown below: С K INPUT B A A > OUTPUT B where the subsystems A, B, and C are described by the following linear differential equations: A: y + y = x; B: y + 3y = 3 + x; = C: y = Kx where x and y denote putative input and output, respectively, and K is a scalar (i.e., the IRF of C is a y delta function times K). When K = 2, find:
You are given the system configuration shown below: С K INPUT B A A > OUTPUT B where the subsystems A, B, and C are desc
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You are given the system configuration shown below: С K INPUT B A A > OUTPUT B where the subsystems A, B, and C are desc
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