Signals and Systems: cram pack

Formula sheets, the key method steps for every topic and 8 practice problems, with full solutions at the back.

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1Formulas and methods

Convolution & LTI systems

Discrete convolution
y[n] = Σ x[k]·h[n − k]
Continuous convolution
y(t) = ∫ x(τ)·h(t − τ) dτ
Length and sum
Ly = Lx + Lh − 1, Σy = Σx·Σh
Start, end and area
t1 + t3 … t2 + t4, ∫y = ∫x·∫h
Step into e^(−at)u(t)
y(t) = (A/a)(1 − e−at)
First-order system
y′ + a·y = b·x → h(t) = b·e−atu(t)
First-order recursion
y[n] = a·y[n − 1] + b·x[n] → h[n] = b·aⁿ
Sinusoid through h(t)
|H(jω)|, ∠H(jω); H(jω) = b/(a + jω)
Fourier series amplitudes
square ±A: 4A/(kπ), odd k; triangle ±A: 8A/(π²k²), odd k; pulse train: A·D and (2A/(kπ))|sin kπD|

Method

  1. Sketch both signals and note where each one is nonzero.
  2. Flip h and slide it: for each output time, find the range where both signals overlap.
  3. Multiply and add (discrete) or multiply and integrate (continuous) over that overlap only.
  4. Check the result: the output starts at the sum of the start times, ends at the sum of the end times, and its area or sum is the product of the input areas or sums.

2Practice problems

1.Convolution & LTI systemsMedium
x(t)t2h(t)t1

The input x(t) = 2·e−1tu(t) is applied to a system with h(t) = e−2tu(t). Find the output y(1.5) at t = 1.5 s.

x(t) = 2·e−1tu(t)h(t) = e−2tu(t)t = 1.5 s
y(1.5) =
2.Convolution & LTI systemsHard
x(t)t (ms)2.5102010

A pulse train has height 10, pulse width 2.5 ms and period 10 ms. Find the amplitude c3 of harmonic number 3, at 300 Hz.

A = 10τ = 2.5 msT = 10 ms
c3 =
3.Laplace transformsMedium
ReIm−55

Find f(t) for F(s) = (4s + 33)/(s² + 8s + 52) by completing the square, and evaluate f(0.5).

F(s) = (4s + 33)/(s² + 8s + 52)t = 0.5 s
f(0.5) =
4.Laplace transformsHard
ReIm−0.5−1−1.5−2−2.5−30.51

A system is described by the differential equation y″ + 5y′ + 6y = 3u′ + 8u, with input u(t) and output y(t). Find its transfer function G(s) = Y(s)/U(s) (zero initial conditions) and evaluate the impulse response g(t) at t = 0.1 s. Find g(0.1).

y″ + 5y′ + 6y = 3u′ + 8ut = 0.1 s
g(0.1) =
5.Step responseMedium
t (s)y(t)0.5

A system has the transfer function G(s) = 33.5/(s² + 8s + 67) and receives a unit step input. Find the damping ratio ζ.

G(s) = 33.5/(s² + 8s + 67)
ζ =
6.Step responseHard
k = 1000 N/mc = 60 N·s/mm = 10 kgF = 25 Nx(t)

A mass m = 10 kg hangs on a spring k = 1000 N/m with a viscous damper c = 60 N·s/m (m·x″ + c·x′ + k·x = F). At rest in equilibrium, a constant force F = 25 N is suddenly applied. Find the percent overshoot %OS of the displacement.

m = 10 kgk = 1000 N/mc = 60 N·s/mF = 25 N
%OS = %
7.Bode plots & marginsMedium
vin​R = 10 kΩC = 10 nFvout​

The RC low-pass filter shown has R = 10 kΩ, C = 10 nF. A sinusoidal input of 16 kHz is applied. Find the gain |H| = |vout/vin| in dB.

R = 10 kΩC = 10 nFf = 16 kHz
|H| = dB
8.Bode plots & marginsHard
|H| (dB)0.10.111101010010010001000−60−40−200204060ω (rad/s)φ (°)ω (rad/s)−180−135−90−450ωc​ = ?

A unity-feedback loop has the open-loop transfer function L(s) = 256/(s(s + 8)). Find the gain crossover frequency ωc, where |L(jω)| = 1.

L(s) = 256/(s(s + 8))
ωc = rad/s

3Solutions

1.Convolution & LTI systems

Answer: y(1.5) = 0.3467

Continuous convolution: y(t) = ∫ x(τ)·h(t − τ) dτ. Flip h, slide it to position t and integrate the product of the overlapping parts. For causal signals the integral runs from 0 to t. Useful results: the area of y is the area of x times the area of h; if x lasts from t₁ to t₂ and h from t₃ to t₄, y lasts from t₁ + t₃ to t₂ + t₄. For h(t) = e−atu(t) and a step of height A, y(t) = (A/a)(1 − e−at).

Convolution integral

y(t) = 2e−2t∫₀ᵗ e−(1 − 2)τ dτ = 2(e−2t − e−1t)/(−1)

Evaluate

y(1.5) = 2·(0.04979 − 0.2231)/(−1) = 0.3467

Answer

y(1.5) = 0.3467
2.Convolution & LTI systems

Answer: c3 = 1.501

Impulse response and Fourier series: the impulse response h(t) describes an LTI system completely: for y′ + a·y = b·x it is h(t) = b·e−atu(t), and for y[n] = a·y[n − 1] + b·x[n] it is h[n] = b·aⁿu[n]. A sinusoid cos ωt passes through with gain |H(jω)| and phase ∠H(jω), where H is the Fourier transform of h. A periodic signal is a sum of harmonics at k/T: a square wave of ±A has only odd harmonics with amplitudes 4A/(kπ), a triangle wave of peak A has 8A/(π²k²), and a pulse train of height A and duty cycle D has the mean A·D and the harmonics (2A/(kπ))·|sin(kπD)|.

Duty cycle

D = 2.5/10 = 0.25

Harmonic amplitude

c3 = (2·10/(3π))·|sin(3π·0.25)| = 1.501

Answer

c3 = 1.501
3.Laplace transforms

Answer: f(0.5) = −0.4818

Laplace transform: F(s) = ∫₀∞ f(t)·e−st dt turns derivatives into multiplications by s: ℒ{f′} = sF(s) − f(0), ℒ{f″} = s²F(s) − s·f(0) − f′(0). Standard pairs: 1 ↔ 1/s, e−at ↔ 1/(s + a), t·e−at ↔ 1/(s + a)², sin ωt ↔ ω/(s² + ω²), cos ωt ↔ s/(s² + ω²), and a shift s → s + σ multiplies the time function by e−σt. To invert a rational F(s), split it into partial fractions: the residue of a simple pole p is A = [(s − p)·F(s)] at s = p. Final value theorem: f(∞) = lims→0 s·F(s), valid only when all poles of s·F(s) lie in the left half-plane. Initial value theorem: f(0⁺) = lims→∞ s·F(s).

Complete the square

s² + 8s + 52 = (s + 4)² + 36 = (s + 4)² + 6²

Match the numerator

F(s) = 4·(s + 4)/((s + 4)² + 6²) + (17/6)·6/((s + 4)² + 6²)

Inverse transform

f(t) = e−4t·(4·cos 6t + 2.833·sin 6t)
f(0.5) = e−4·0.5·(4·cos(6·0.5) + 2.833·sin(6·0.5)) = −0.4818

Answer

f(0.5) = −0.4818
4.Laplace transforms

Answer: g(0.1) = 2.378

Laplace transform: F(s) = ∫₀∞ f(t)·e−st dt turns derivatives into multiplications by s: ℒ{f′} = sF(s) − f(0), ℒ{f″} = s²F(s) − s·f(0) − f′(0). Standard pairs: 1 ↔ 1/s, e−at ↔ 1/(s + a), t·e−at ↔ 1/(s + a)², sin ωt ↔ ω/(s² + ω²), cos ωt ↔ s/(s² + ω²), and a shift s → s + σ multiplies the time function by e−σt. To invert a rational F(s), split it into partial fractions: the residue of a simple pole p is A = [(s − p)·F(s)] at s = p. Final value theorem: f(∞) = lims→0 s·F(s), valid only when all poles of s·F(s) lie in the left half-plane. Initial value theorem: f(0⁺) = lims→∞ s·F(s).

Transfer function

G(s) = Y(s)/U(s) = (3s + 8)/(s² + 5s + 6)

Partial fractions

s² + 5s + 6 = (s + 2)(s + 3)
A = 2, B = 1

Impulse response

g(t) = 2·e−2t + e−3t
g(0.1) = 2.378

Answer

g(0.1) = 2.378
5.Step response

Answer: ζ = 0.4887

Step response: a first-order system G(s) = K/(τs + 1) answers a step of size U with y(t) = K·U·(1 − e−t/τ): it reaches 63.2 % of the final value K·U after one time constant τ and 98 % after 4τ. A second-order system G(s) = K·ωₙ²/(s² + 2ζωₙs + ωₙ²) has the poles s = −ζωₙ ± jωd with ωd = ωₙ√(1 − ζ²). For 0 < ζ < 1 the step response overshoots: percent overshoot %OS = 100·e−ζπ/√(1−ζ²), peak time tp = π/ωd, and the 2 % settling time ts ≈ 4/(ζωₙ). Compare the denominator with s² + 2ζωₙs + ωₙ² to read off ωₙ and ζ. For a mass–spring–damper ωₙ = √(k/m) and ζ = c/(2√(km)); for a series RLC circuit ωₙ = 1/√(LC) and ζ = (R/2)·√(C/L).

Compare with the standard form

The denominator must match s² + 2ζωₙs + ωₙ².

ωₙ² = 67 → ωₙ = 8.185 rad/s
2ζωₙ = 8 → ζ = 8/(2·8.185) = 0.4887

Result

ζ = 0.4887

Answer

ζ = 0.4887
6.Step response

Answer: %OS = 37.23 %

Step response: a first-order system G(s) = K/(τs + 1) answers a step of size U with y(t) = K·U·(1 − e−t/τ): it reaches 63.2 % of the final value K·U after one time constant τ and 98 % after 4τ. A second-order system G(s) = K·ωₙ²/(s² + 2ζωₙs + ωₙ²) has the poles s = −ζωₙ ± jωd with ωd = ωₙ√(1 − ζ²). For 0 < ζ < 1 the step response overshoots: percent overshoot %OS = 100·e−ζπ/√(1−ζ²), peak time tp = π/ωd, and the 2 % settling time ts ≈ 4/(ζωₙ). Compare the denominator with s² + 2ζωₙs + ωₙ² to read off ωₙ and ζ. For a mass–spring–damper ωₙ = √(k/m) and ζ = c/(2√(km)); for a series RLC circuit ωₙ = 1/√(LC) and ζ = (R/2)·√(C/L).

Natural frequency and damping ratio

ωₙ = √(k/m) = √(1000/10) = 10 rad/s
ζ = c/(2√(km)) = 60/(2·√(1000·10)) = 0.3

Result

%OS = 100·e−ζπ/√(1−ζ²) = 37.23 %

Answer

%OS = 37.23 %
7.Bode plots & margins

Answer: |H| = −20.09 dB

Frequency response: substitute s = jω in the transfer function. The magnitude in decibels is 20·log₁₀|H(jω)| and the phase is the sum of the angles of the numerator factors minus those of the denominator factors. A first-order RC or RL filter has its corner (−3 dB) frequency at ωc = 1/(RC) or R/L, and fc = ωc/(2π); a low-pass filter gives |H| = 1/√(1 + (ω/ωc)²) and φ = −atan(ω/ωc). In the asymptotic (straight-line) Bode plot each pole bends the magnitude down by 20 dB/decade at its corner frequency, each zero bends it up by 20 dB/decade, and an integrator 1/s gives −20 dB/decade at all frequencies. Gain crossover ωc: |L(jω)| = 1 (0 dB); phase margin PM = 180° + ∠L(jωc). Phase crossover ω180: ∠L(jω) = −180°; gain margin GM = −20·log₁₀|L(jω180)| dB. The closed loop is stable when both margins are positive.

Corner frequency

ωc = 1/(RC) = 1/(10000·1 × 10⁻⁸) = 10000 rad/s
fc = 1592 Hz → f/fc = 16000/1592 = 10.05

Gain

|H| = 1/√(1 + 10.05²) = 0.09898
20·log₁₀(0.09898) = −20.09 dB

Answer

|H| = −20.09 dB
8.Bode plots & margins

Answer: ωc = 15.03 rad/s

Frequency response: substitute s = jω in the transfer function. The magnitude in decibels is 20·log₁₀|H(jω)| and the phase is the sum of the angles of the numerator factors minus those of the denominator factors. A first-order RC or RL filter has its corner (−3 dB) frequency at ωc = 1/(RC) or R/L, and fc = ωc/(2π); a low-pass filter gives |H| = 1/√(1 + (ω/ωc)²) and φ = −atan(ω/ωc). In the asymptotic (straight-line) Bode plot each pole bends the magnitude down by 20 dB/decade at its corner frequency, each zero bends it up by 20 dB/decade, and an integrator 1/s gives −20 dB/decade at all frequencies. Gain crossover ωc: |L(jω)| = 1 (0 dB); phase margin PM = 180° + ∠L(jωc). Phase crossover ω180: ∠L(jω) = −180°; gain margin GM = −20·log₁₀|L(jω180)| dB. The closed loop is stable when both margins are positive.

Gain crossover

ω⁴ + 64ω² − 65536 = 0
ω² = (−64 + √(4096 + 4·65536))/2 = 226
ωc = 15.03 rad/s

Answer

ωc = 15.03 rad/s

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