A signal, y(t), is described by the equation: (i) y(t) = where to 20 is a positive constant, and it means the magnitude of t. (ii) [A, if to -7/2<|t| ≤ to +7/2 0, otherwise Carefully plot the signal, y(t), paying attention to the region when y(t) is non-zero, and labelling all axes. Calculate the Fourier transform of the signal, y(t), denoted by Y (w).

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aii) 

A rectangular pulse, x(t), of width 7 as shown overleaf in Figure B1, is defined by:
t< −7/2
if-1/2 ≤ t < 7/2
a)
The Fourier transform of the signal, x(t), is denoted by X (w) and expressed as:
sin (w)
w/7/2
(i)
x(t) =
(ii)
A signal, y(t), is described by the equation:
(iii)
X (W) = AT
(iv)
0,
A,
0, t≥ ¹/2
y(t)
=
= AT sinc
where to ≥ 0 is a positive constant, and |t| means the magnitude of t.
(~7)
SA, if to 7/2<|t| ≤ to + ¹/2
0.
otherwise
Carefully plot the signal, y(t), paying attention to the region when
y(t) is non-zero, and labelling all axes.
Calculate the Fourier transform of the signal, y(t), denoted by Y (w).
Clearly show all your steps and working, but note that marks are
awarded for concise approaches rather than a verbose long-winded
solution.
Provide an alternative derivation to calculate Y (w), different to your
method in part a)(ii), and using further properties of the Fourier
transform not already used.
=
Simplify your answer for the case to
check if this solution is correct.
T/2, and explain how you can
Transcribed Image Text:A rectangular pulse, x(t), of width 7 as shown overleaf in Figure B1, is defined by: t< −7/2 if-1/2 ≤ t < 7/2 a) The Fourier transform of the signal, x(t), is denoted by X (w) and expressed as: sin (w) w/7/2 (i) x(t) = (ii) A signal, y(t), is described by the equation: (iii) X (W) = AT (iv) 0, A, 0, t≥ ¹/2 y(t) = = AT sinc where to ≥ 0 is a positive constant, and |t| means the magnitude of t. (~7) SA, if to 7/2<|t| ≤ to + ¹/2 0. otherwise Carefully plot the signal, y(t), paying attention to the region when y(t) is non-zero, and labelling all axes. Calculate the Fourier transform of the signal, y(t), denoted by Y (w). Clearly show all your steps and working, but note that marks are awarded for concise approaches rather than a verbose long-winded solution. Provide an alternative derivation to calculate Y (w), different to your method in part a)(ii), and using further properties of the Fourier transform not already used. = Simplify your answer for the case to check if this solution is correct. T/2, and explain how you can
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