22-Elec-A3 Signals and Communications · December 2014
Question 1 of 7: Fourier transform, spectra, energy and filtering of a delayed exponential (20 marks)
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. Association of Professional Engineers of Ontario, Annual Examinations
— 07-Elec-A3 Signals and Communications, December 2014, 3 hours, closed book
(a standard non-programmable calculator is the only aid). Seven questions, all of equal value
(20 marks each); the rubric states that any five questions constitute a complete paper and that only
the first five appearing in the answer book are marked. All seven are solved here, because the
set is a study resource rather than a graded script.
Reference texts.
B. P. Lathi and Z. Ding, Modern Digital and Analog Communication Systems, 4th ed. —
amplitude modulation, superheterodyne receivers, PCM, angle modulation.
A. V. Oppenheim, A. S. Willsky and S. H. Nawab, Signals and Systems, 2nd ed. —
Fourier transform properties, convolution, Parseval’s relation, discrete-time systems.
J. G. Proakis and D. G. Manolakis, Digital Signal Processing: Principles, Algorithms and
Applications, 4th ed. — difference equations, transfer functions, BIBO stability.
S. Haykin and M. Moher, Communication Systems, 5th ed. — envelope detection, coherent
detection, sampling and quantisation noise.
Two conventions are used throughout. Frequency is written in hertz (variable $f$) whenever the
question asks for it in hertz, and in radians per second (variable $\omega = 2\pi f$) only inside
time-domain expressions.
Question 1 — Fourier transform, spectra, energy and filtering of a delayed exponential (20 marks)
Given. A causal, one-sided exponential switched on at $t = 2\ \text{s}$:
$x(t) = u(t-2)\,e^{-2t}$, so $x(t) = e^{-2t}$ for $t \ge 2$ and zero before. Note carefully that the
exponent is $-2t$ and not $-2(t-2)$: the signal starts at the reduced value
$x(2^{+}) = e^{-4} = 1.832\times10^{-2}$, not at unity. The filter of part (d) is a unit-height
rectangular window of duration $1\ \text{s}$, $h(t) = u(t) - u(t-1)$.
Find. (a) $X(f)$ with $f$ in hertz; (b) $|X(f)|$ and $\arg X(f)$; (c) the energy spectral
density $\Psi_x(f)$ and the total energy $E_x$; (d) $y(t) = x(t) * h(t)$ evaluated entirely in the
time domain.
Approach. Evaluate the defining Fourier integral over the support $[2,\infty)$, split the
result into magnitude and angle, apply $\Psi_x = |X|^2$ together with Rayleigh’s energy theorem, and
finish part (d) by recognising the rectangular $h(t)$ as a one-second running integral so that
$y(t) = \int_{t-1}^{t} x(\tau)\,d\tau$.
Evaluate the Fourier integral over the signal’s support.
Because $x(t)$ vanishes for $t \lt 2$, the transform integral runs from 2 to infinity:
$$X(f) = \int_{-\infty}^{\infty} x(t)e^{-j2\pi f t}\,dt = \int_{2}^{\infty} e^{-2t}e^{-j2\pi f t}\,dt
= \int_{2}^{\infty} e^{-(2 + j2\pi f)t}\,dt .$$
The integrand decays because $\operatorname{Re}\{2 + j2\pi f\} = 2 \gt 0$, so the upper limit
contributes nothing and only the lower limit survives.
Carry out the integration and collect the delay factor.
$$X(f) = \left[\frac{-e^{-(2+j2\pi f)t}}{2 + j2\pi f}\right]_{2}^{\infty}
= \frac{e^{-2(2+j2\pi f)}}{2 + j2\pi f}
= \boxed{\;X(f) = \frac{e^{-4}\,e^{-j4\pi f}}{2 + j2\pi f}\;}$$
The factor $e^{-j4\pi f} = e^{-j2\pi f(2)}$ is exactly the time-shift kernel for a 2 s delay, and the
constant $e^{-4}$ is the amplitude the exponential has decayed to by the switch-on instant. Equivalently
$x(t) = e^{-4}\,e^{-2(t-2)}u(t-2)$, whose transform is $e^{-4}e^{-j4\pi f}/(2+j2\pi f)$ by the shifting
property — a useful independent check on the algebra.
Separate magnitude and phase.
The delay factor has unit magnitude, so it affects only the angle:
$$|X(f)| = \frac{e^{-4}}{\sqrt{4 + 4\pi^{2}f^{2}}} = \frac{e^{-4}}{2\sqrt{1 + \pi^{2}f^{2}}},
\qquad
\arg X(f) = -4\pi f - \arctan\!\left(\pi f\right).$$
The amplitude spectrum is even and the phase spectrum odd, as required of a real signal. Its peak sits
at d.c.:
$$\boxed{\;|X(0)| = \tfrac{1}{2}e^{-4} = 9.158\times10^{-3}\ \text{V}\!\cdot\!\text{s}\;}$$
and $|X(f)|$ falls to half of that at $\pi f = \sqrt{3}$, i.e. $f = 0.551\ \text{Hz}$.
Amplitude spectrum |X(f)| of x(t) = u(t-2)e^(-2t). Even in f, peak e⁻⁴/2 = 9.158 × 10⁻³ V·s at d.c., half-power at f = 0.551 Hz.
Phase spectrum. The dominant straight line −4πf is the 2 s delay; the residual −arctan(πf) is the pole's own contribution and saturates at −π/2.
The phase is dominated by the straight line $-4\pi f$, which is the signature of the 2 s delay; the
gentle $-\arctan(\pi f)$ term is the pole’s own contribution and saturates at $-\pi/2$. At
$f = 1\ \text{Hz}$, for instance, $\arg X = -4\pi - \arctan\pi = -13.83\ \text{rad}$.
Form the energy spectral density.
For an energy signal the ESD is the squared magnitude of the transform, and the delay drops out
entirely:
$$\Psi_x(f) = |X(f)|^{2} = \frac{e^{-8}}{4 + 4\pi^{2}f^{2}}
\qquad\left[\text{V}^{2}\!\cdot\!\text{s}^{2}/\text{Hz}\right].$$
At d.c. $\Psi_x(0) = e^{-8}/4 = 8.387\times10^{-5}$, and the density is halved at the same
$f = 0.551\ \text{Hz}$ found above.
Obtain the energy, and confirm it two ways.
Directly in the time domain,
$$E_x = \int_{-\infty}^{\infty}|x(t)|^{2}dt = \int_{2}^{\infty} e^{-4t}\,dt = \frac{e^{-8}}{4}
\qquad\Longrightarrow\qquad
\boxed{\;E_x = 8.387\times10^{-5}\ \text{J (into }1\ \Omega)\;}$$
Rayleigh’s theorem gives the same number from the ESD, since
$\int_{-\infty}^{\infty} df/(1+\pi^{2}f^{2}) = 1$ and therefore
$\int \Psi_x(f)\,df = (e^{-8}/4)\cdot 1$. The agreement confirms both the transform and the density.
Recognise the filter as a one-second running integral.
Since $h(t)$ is unity on $[0,1]$ and zero elsewhere,
$$y(t) = \int_{-\infty}^{\infty} x(\tau)h(t-\tau)\,d\tau = \int_{t-1}^{t} x(\tau)\,d\tau .$$
This single statement replaces four separate flip-and-shift integrals: all that remains is to track
how the moving one-second window overlaps the support $\tau \ge 2$.
Evaluate the three overlap regimes.
For $t \lt 2$ the window lies entirely to the left of the support and $y(t) = 0$. For
$2 \le t \le 3$ the window has entered the support but its trailing edge is still inside the dead zone,
so the integral runs from 2 to $t$:
$$y(t) = \int_{2}^{t} e^{-2\tau}d\tau = \frac{e^{-4} - e^{-2t}}{2}.$$
For $t \gt 3$ the window is fully inside the support and both limits are active:
$$y(t) = \int_{t-1}^{t} e^{-2\tau}d\tau = \frac{e^{-2(t-1)} - e^{-2t}}{2} = \frac{e^{2}-1}{2}\,e^{-2t}.$$
Collecting the three pieces,
$$\boxed{\;y(t) = \begin{cases} 0, & t \lt 2\\[4pt]
\dfrac{e^{-4} - e^{-2t}}{2}, & 2 \le t \le 3\\[6pt]
\dfrac{e^{2}-1}{2}\,e^{-2t}, & t \gt 3\end{cases}\;}$$
The two branches agree at $t = 3$, where both give
$y(3) = (e^{-4}-e^{-6})/2 = 7.918\times10^{-3}$ — the peak of the response, and a check worth
performing because a sign slip in either branch destroys the continuity.
Filter output y(t) = x(t) * h(t) with h a 1 s rectangular window: zero before t = 2, rising on [2, 3], then decaying as 3.195 e⁻²ᵗ. Peak y(3) = 7.918 × 10⁻³.
Physically the output rises while the window fills with signal energy and then decays at the same
rate $e^{-2t}$ as the input once the window is saturated, scaled by the constant
$(e^{2}-1)/2 = 3.195$. A final consistency check: the area under $y$ must equal the product of the
areas of $x$ and $h$, namely $(e^{-4}/2)(1) = 9.16\times10^{-3}$, which the piecewise expression
reproduces.