The general definition of a matched filter is a filter that maximizes peak signal-to-rms noise at some

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The general definition of a matched filter is a filter that maximizes peak signal-to-rms noise at some prechosen instant of time t0.

(a) Assuming white noise at the input, use Schwarz€™s inequality to show that the frequency response function of the matched filter is

Hm(f) = S*(f) exp(-j2Ï€ft0)

where S(f) = i[s(t)] and s(t) is the signal to which the filter is matched.

(b) Show that the impulse response for the matched-filter frequency response function found in part (a) is

hm(t) = s(t0 - t)

(c) If s(t) is not zero t > t0, the matched-filter impulse response is nonzero for t < 0; that is, the filter is non-causal and cannot be physically realized because it responds before the signal is applied. If we want a realizable filter, we use s(to – t), t> 0 t < 0 hm,(t) = %3D Find the realizable matched-filter impulse response corresponding to the signal 

s(t) = AII[(t - T/2)/T]

and t0 equal to 0, T/2, T, and 2T.

(d) Find the peak output signal for all cases in part (c). Plot them versus t0. What do you conclude about the relation between t0 and the causality condition?

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