New Mexico State University Klipsch School of Electrical Engineering EE312 - Signals and Systems I Fall 2015 Final Exam

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1 New Mexico State University Klipsch School of Electrical Engineering EE312 - Signals and Systems I Fall 2015 Name: Solve problems 1 3 and two from problems 4 7. Circle below which two of problems 4 7 you wish to be graded. Prob. 1 Prob. 2 Prob. 3 Prob. 4 Prob. 5 Prob. 6 Prob. 7 Total / 20 points / 20 points / 20 points / 20 points / 20 points / 20 points / 20 points / 100 points

2 Prob. 1 The linear, constant-coefficient differential equation (LCCDE) of a continuous-time (CT), linear, time-invariant (LTI) system is given by Assume at rest conditions. 1 d 2 y(t) dy(t) + y(t) = 1 dx(t) + x(t) d 2 t 1000 dt 100 dt (a) Draw a block diagram of the system using differentiators and not integrators. (b) Determine the frequency response, H(jω) of the system. 1

3 Prob. 1 (cont.) (c) Determine the impulse response, h(t) of the system. (d) Let the input to the system be, x(t) = e j100t. Use any method you wish to determine the output, y(t). Solve LCCDE for y(t), convolve h(t) x(t), transform-domain F 1 {H(jω)X(jω)}, or eigenfunction theory 2

4 Prob. 2 The linear, constant-coefficient difference equation (LCCDE) of a discrete-time (DT) LTI system is given by Assume at rest conditions. (a) Draw a block diagram of the system. y[n] 1 y[n 2] = x[n] 2x[n 1]. 4 (b) Determine the frequency response, H(e jω ) of the system. 3

5 Prob. 2 (cont.) (c) Determine the impulse response, h[n] of the system. (d) Let the input to the system be, x[n] = e j2n. Use any method you wish to determine the output, y[n]. Solve LCCDE for y[n], convolve h[n] x[n], transform-domain F 1 { H(e jω )X(e jω ) }, or eigenfunction theory 4

6 Prob. 3 A CT LTI system with frequency response, H(jω) is constructed by cascading two CT LTI systems with frequency responses, H 1 (jω) and H 2 (jω) as depicted below; obviously H(jω) = H 1 (jω)h 2 (jω). H(jω) x(t) H 1 (jω) H 2 (jω) y(t) The two figures below show the straight-line approximations of the Bode magnitude plots of H 1 (jω) and H(jω). Complete the following parts to determine H 2 (jω). 20log 10 H 1 (jω) 24 db 20log 10 H(jω) 20 db +20 db/decade 20 db/decade 40 db/decade 6 db ω (rads/s) ω (rads/s) (a) H 1 (jω) (b) H(jω) (a) Determine the three break frequencies of H 1 (jω). 5

7 Prob. 3 (cont.) (b) Determine the constant factor for H 1 (jω), A 1 such that H 1 (jω) = A 1 (jω + ω 1 ) (jω + ω 2 )(jω + ω 3 ) where ω 1, ω 2, and ω 3 are the break frequencies from (a). Hint: From the plot, 20 log 10 H 1 (j0) = 6 or H 1 (j0) = 2. (c) Determine the break frequency(ies) and constant factor for H(jω). (d) Determine H 2 (jω) = H(jω)/H 1 (jω) using your results in (b) and (c). 6

8 Prob. 4 Part I: Let t 2, 0 t < 1 x(t) = t 2, 1 t < 0 0, otherwise F X(jω) For this problem, the actual value of X(jω) does not matter. The first solution is given as an example. (a) Graph x 1 (t) = x(t 1.6) and write X 1 (jω) in terms of X(jω). Solution: X 1 (jω) = e j1.6ω X(jω) x 1 (t) t (s) (b) Graph x 1 (t) = x ( 12 ) t and write X 1 (jω) in terms of X(jω). (c) Graph x 1 (t) = x (3t + 1) and write X 1 (jω) in terms of X(jω). 7

9 Prob. 4 (cont.) Part II: Let x[n] = sin(πn/4) πn X(e jω ) is periodic with a period of 2π. { F 1, 0 ω π/4 X(e jω ) = 0, π/4 < ω π (d) x 1 [n] = x[n 3]. Graph the magnitude and phase response of X 1 (e jω ) for π ω π. (e) x 1 [n] = x[n] e jπn/2. Graph the magnitude and phase response of X 1 (e jω ) for π ω π. (f) X 1 (e jω ) = e j4ω X(e jω ). Write x 1 [n] in terms of x[n] and graph the magnitude and phase response of X 1 (e jω ) for π ω π. 8

10 Prob. 5 (a) Let x(t) = u(t) and h(t) = e 1000t u(t) + e 10t u(t). < t < using graphical convolution(s). Determine y(t) = h(t) x(t) for 9

11 Prob. 5 (cont.) ( ) n ( 1 (b) Let x[n] = u[n] and h[n] = u[n] + 1 n u[n]. Determine y[n] = h[n] x[n] for 2 2) < n < using graphical convolution(s). 10

12 Prob. 6 (a) Let x(t) = { 1 e t, 1 t < 0 e t 1, 0 t < 1 be a periodic signal with a fundamental period T = 2 s. Graph x(t) over the interval 3 t 3 and determine the Fourier Series (FS) coefficients, a k. x(t) t a k =? 11

13 Prob. 6 (cont.) (b) Let x[n] = δ[n] 2δ[n 1] + 4δ[n 2] 2δ[n 3] + δ[n 4] be a periodic signal with a fundamental period N = 5. Graph x(t) over the interval 5 n 9 and determine the Discrete-Time Fourier Series (DTFS) coefficients, a k. x[n] n a k =? 12

14 Prob. 7 Let the input signal be and the impulse response be x(t) = cos(20πt) + cos(200πt) + cos(2000πt) h(t) = 10000te 100t u(t). Use eigenfunction theory (not phasors or convolution) to determine the output signal, y(t). Express y(t) in terms of cosines. 13

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