(b) A linear time-invariant (LTI) system is shown in Figure Q1. A signal x(t) = rect(t) is applied at the input of an ideal low pass filter with frequency response Hi(@) rect(o/47). The filtered signal of Y(@) is shown. (i) Illustrate graphically X(@), Hi(@), E(@) and F(@). (ii) Determine the type and the specification of the filter transfer function, H2(m) in order to obtain the filtered signal of y(1).

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Properties of Fourier Transform
JELMAAN FOURIER
(Fourier Transform)
OPERASI
FUNGSI MASA
(Operation)
(Time Function)
1
f(t) = F(@)eiat dw
F(@) = f(t)e-jut dt
Kelinaran (Linearity)
Simetri (Symmetrty)
af:(t) + bf2(t)
f(t) even
aF,(w) + bF2(w)
F(@) = 2| f(t) cos w t dt
f(t) odd
F(@)
= -2j| f(t) sin w t dt
Anjakan masa
f(t – to)
F(@)e¬jwto
(Time shifting)
Skalaan masa
f(at)
la|
(Time scaling)
Penjelmaan masa
(Time Transformation)
Kedualan (duality)
f(at – to)
1
le-jwto/a
|a|
2nf(-w)
aF(@)
F(t)
Skalaan amplitude
(Amplitude Scaling)
Pemodulatan (modulation)
af (t)
f(t)e]wot
f(t) cos wo t
F(@ – wo)
(F(w + wo) + F(@ – w.)]
f(t) sin wo t
- [F (ω- ω) -F(ω+ ω,)]
2j
Pelingkaran (convolution)
fi(t) * f2(t)
fi(t)f2(t)
F, (@)F2(w)
F,(@) * F2(w)
2n
Kebedaan (differentiation)
d"[f(t)]
(ja)*F(@)
d"[F(@)]
dt"
(-jt)"f(t)
dw"
Kamilan (integration)
f(t)dt
: F (ω) + πF (0) δ (ω)
jw
Balikan masa (Time Reversal)
f(-t)
F*(@) = F(-w)
d" F(@)
G)".
dwn
Pekali masa (Multiplication by t)
t"f(t)
Transcribed Image Text:Properties of Fourier Transform JELMAAN FOURIER (Fourier Transform) OPERASI FUNGSI MASA (Operation) (Time Function) 1 f(t) = F(@)eiat dw F(@) = f(t)e-jut dt Kelinaran (Linearity) Simetri (Symmetrty) af:(t) + bf2(t) f(t) even aF,(w) + bF2(w) F(@) = 2| f(t) cos w t dt f(t) odd F(@) = -2j| f(t) sin w t dt Anjakan masa f(t – to) F(@)e¬jwto (Time shifting) Skalaan masa f(at) la| (Time scaling) Penjelmaan masa (Time Transformation) Kedualan (duality) f(at – to) 1 le-jwto/a |a| 2nf(-w) aF(@) F(t) Skalaan amplitude (Amplitude Scaling) Pemodulatan (modulation) af (t) f(t)e]wot f(t) cos wo t F(@ – wo) (F(w + wo) + F(@ – w.)] f(t) sin wo t - [F (ω- ω) -F(ω+ ω,)] 2j Pelingkaran (convolution) fi(t) * f2(t) fi(t)f2(t) F, (@)F2(w) F,(@) * F2(w) 2n Kebedaan (differentiation) d"[f(t)] (ja)*F(@) d"[F(@)] dt" (-jt)"f(t) dw" Kamilan (integration) f(t)dt : F (ω) + πF (0) δ (ω) jw Balikan masa (Time Reversal) f(-t) F*(@) = F(-w) d" F(@) G)". dwn Pekali masa (Multiplication by t) t"f(t)
(b)
A linear time-invariant (LTI) system is shown in Figure Q1. A signal x(t) = rect(t) is
applied at the input of an ideal low pass filter with frequency response H1(@) =
rect(o/47). The filtered signal of Y(@) is shown.
(i)
Illustrate graphically X(@), H1(@), E(@) and F(@).
(ii)
Determine the type and the specification of the filter transfer function, H2(m) in
order to obtain the filtered signal of y(1).
E(@)
F(@)
x(t).
H(0)
H:(@)
y(1)
Y(@)
cos 10zt
-12n
-10
10r
12n
Figure Q1
Transcribed Image Text:(b) A linear time-invariant (LTI) system is shown in Figure Q1. A signal x(t) = rect(t) is applied at the input of an ideal low pass filter with frequency response H1(@) = rect(o/47). The filtered signal of Y(@) is shown. (i) Illustrate graphically X(@), H1(@), E(@) and F(@). (ii) Determine the type and the specification of the filter transfer function, H2(m) in order to obtain the filtered signal of y(1). E(@) F(@) x(t). H(0) H:(@) y(1) Y(@) cos 10zt -12n -10 10r 12n Figure Q1
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