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Problems related to signals and systems for ee 120 at the university of california berkeley. It includes questions about z-transform, laplace transform, and feedback configuration with a proportional controller. The final exam problem also covers discrete-time lti system modeling of a lecture hall's acoustic environment, system function, pole-zero diagram, and frequency response.
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EE 120: Signals and Systems Department of EECS UNIVERSITY OF CALIFORNIA BERKELEY
14 May 2007
LAST Name FIRST Name
Lab Time
The Z -transform of a signal x : Z → C :
X̂ (z) =
n=−∞
x(n)z−n.
A couple of Z -transform pairs:
αnu(n) ←→Z
1 − αz−^1
, |z| > |α|.
αn^ cos(ω 0 n)u(n) ←→Z
1 − α cos(ω 0 )z−^1 1 − 2 α cos(ω 0 )z−^1 + α^2 z−^2
, |z| > α > 0.
The Laplace transform of a signal x : R → C :
X̂ (s) =
−∞
x(t) e−st^ dt.
Some Laplace transform pairs:
u(t) ←→L
s
, Re(s) > 0
e−αtu(t) ←→L
s + α
, Re(s) > −α
e−αt^ sin(ω 0 t)u(t) ←→L
ω 0 (s + α)^2 + ω 02
, Re(s) > −α
α ∈ R in the above Laplace transform pairs.
(c) What is the impulse response of the closed-loop system for K = 1?
(d) Suppose K = 6 and x(t) = u(t), the unit step.
Determine y(t), t ≥ 0. Express y in terms of its transient and steady-state components, y(t) = ytr(t) + yss(t).
F-S07.2 (40 Points) Consider the acoustic environment of a lecture hall, where x denotes the sound created by a speaker, and y the speaker’s sound as heard by a listener’s ear. The physical characteristics of the hall produce acoustic distortion in the speaker’s sound; what the listener hears is not the same as what the speaker utters.
Suppose that a particular lecture hall produces linear, time-invariant acoustic dis- tortion. Therefore, it can be well-modeled by a discrete-time LTI system F : [Z → C] → [Z → C] whose input x is the speaker’s utterance and whose output y is the speaker’s sound as perceived by the listener.
In particular, suppose the input-output model of the lecture hall is modeled by the linear, constant-coefficient difference equation
y(n) − 2 Re(a) y(n − 1) + |a|^2 y(n − 2) = x(n − 1),
where a ∈ C is a parameter that models the acoustic resonance properties of the hall and is within the unit circle (i.e., |a| < 1 ).
(a) Determine F̂ , the system function of the hall. Your expression must be in terms of the resonance parameter a. Write the expression for F̂ so that its denominator is a product of two first-order factors.
(b) Suppose the resonance parameter a = 0. 99 eiπ/^4. Provide both a well-labeled pole-zero diagram for F̂ and a well-labeled, but otherwise rough, sketch of the magnitude of the frequency response |F (ω)|, ∀ω ∈ [−π, +π].
F-S07.3 (60 Points) The bilinear transformation is a tool for designing a discrete-time LTI filter from a continuous-time counterpart.
The process begins with an already-designed analog filter having system function Ĥ c. The discrete-time filter is then obtained by letting
s =
1 − z−^1 1 + z−^1
in the system function expression Ĥ c(s), where T > 0 is a parameter whose value is chosen based on convenience.
Simply put, the system function Ĥ d of the discrete-time filter is designed from its continuous-time counterpart according to the equation
Ĥ d(z) = Ĥ c(s)
s= (^) T^21 1+−zz−−^11
(a) Show that the bilinear transformation maps every point in the left-half of the s-plane to a corresponding point inside the unit circle in the z-plane. To do this, first use Equation 1 to express z in terms of s. Next, write s in its Carte- sian form s = σ + iω, and show that if σ < 0 , then |z| < 1.
(b) Show that the iω-axis in the s-plane maps to the unit circle in the z-plane. Do this by demonstrating that if s = iω, then |z| = 1.
(c) True or false?
A discrete-time filter obtained by applying the bilinear transformation to a continuous-time filter is causal and stable, if the continuous-time filter is causal and stable.
Explain your reasoning succinctly, but clearly and convincingly.
(d) The result of part (b) suggests a relationship between the continuous-time frequency variable ω (having units of radians/sec) and the frequency vari- able Ω (having units of radians/sample) of the corresponding discrete-time filter. Use the result of part (b) to show that s = iω and z = eiΩ^ can be inserted in Equation 1 to establish the following relationship between the two frequency variables:
ω =
tan
or, equivalently, Ω = 2 arctan
ωT 2
(f) The system function Ĥ c of a continuous-time, causal, and stable N th-order Butterworth filter satisfies the following equation:
Ĥ c(s) Ĥ c(−s) = 1 1 +
s iωc
where ωc is a positive frequency. A discrete-time filter Hd is designed by applying the bilinear transformation of Equation 1 (with T = 2) to the N th-order continuous-time Butterworth fil- ter Hc. In particular, the system function Ĥ d of the discrete-time ”Butterworth filter” satisfies the following equation:
Ĥ d(z) Ĥ d(1/z) = 1 1 +
s iωc
s= (^1) 1+−zz−−^11
Determine the response of the discrete-time filter Hd to the input signal xd(n) = (−1)n, ∀n ∈ Z.
F-S07.4 (50 Points) A continuous-time, causal, LTI filter Hc has a real-valued im- pulse response hc and a rational transfer function Ĥ c.
A simple input-output graphical depiction of the filter is
The pole-zero diagram of the filter is shown below. Note that the transfer function does not have a finite-valued zero.
(a) If the input signal x is characterized by x(t) = 1, ∀t, the corresponding output signal is y(t) =
α
α^2 + ω^20
), ∀t.
Determine a fairly simple expression for the transfer function Ĥ c(s).
(d) We wish to use the impulse invariance method to design a discrete-time LTI filter Hd from the continuous-time LTI filter Hc. According to this method, the impulse response values hc(t) are sampled to produce the discrete-time filter’s impulse response values hd(n). In particular,
hd(n) = T hc(nT ), ∀n ∈ Z,
where T > 0 is the sampling period. Let Ĥ d denote the transfer function of the discrete-time filter. It turns out that the discrete-time filter has exactly two finite zeroes (at z = 0 and z = −e−αT^ ) and exactly one zero at |z| = +∞. Do not attempt to show this, as it involves algebraic manipulations far beyond the scope of this problem. Instead, simply treat as factual the information about the zero locations, and focus on drawing inferences from it about the number of poles.
(i) Determine a simple expression for each of the poles of Ĥ d(z); your ex- pressions must be in terms of a subset of the parameters α, T , and ω 0. Please note that you are not being asked to determine an expression for the transfer function Ĥ d.
(ii) Provide a well-labeled pole-zero diagram for Ĥ d, assuming α = 1, ω 0 = 2 π · 1000 , and T = 60001.
(iii) Determine the RoC of the transfer function Ĥ d, and state whether the discrete-time filter is causal, BIBO stable, neither, or both.
LAST Name FIRST Name
Lab Time
Problem Points Your Score Name 10
1 40
2 40
3 60
4 50
Total 200