5. The Fourier transform of signal e-2t u(t-3) ise-3(2-jw)a)2-jwb) e-3(2+jw)2 + jwc) e3(2-jw)2-jwd) e3(2+jw)2 + jw26. The inverse Laplace transform of F(s) =iss+ca) 2e-c (t+b) u (t+b)b) 2e-c (t-b)u (t-b)c) 2ec (t-b)u (t-b)d) 2ec (t-b)u (t+b)7. The Laplace transform of the function e 2t cos(3t) + 5e-2t sin(3t) isa)(s+2) - 15(s + 2)² +9(s + 2) + 15b)(s+ 2)²-9(s+ 2) + 15c)(s + 2)² +9(s+2) - 15d) (s+ 2)² - 9-bs

Answered: Image /qna-images/answer/2ee4d97f-7641-4f92-b014-029a81411eac.jpg

5. The Fourier transform of signal e-²t u(t-3) is e-3(2-jw) a) 2-jw b) e -3(2+jw) 2 + jw c) e3(2-jw) 2-jw d) e3(2+jw) 2 + jw 6. The inverse Laplace transform of F(s) = 2 e is s+c a) 2e-c (t+b) u (t+b) b) 2ec (t-b) u (t-b) c) 2ec (t-b) u (t-b) d) 2ec (t-b) u (t+b) 7. The Laplace transform of the function e 2t cos(3t) + 5e-2t sin(3t) is (s+2) - 15 a) (s + 2)² +9 (s + 2) + 15 b) (s+ 2)²-9 (s + 2) + 15 c) (s + 2)² +9 (s+2) - 15 d) B2 e-bs

5. The Fourier transform of signal e-²t u(t-3) is e-3(2-jw) a) 2-jw b) e -3(2+jw) 2 + jw c) e3(2-jw) 2-jw d) e3(2+jw) 2 + jw 6. The inverse Laplace transform of F(s) = 2 e is s+c a) 2e-c (t+b) u (t+b) b) 2ec (t-b) u (t-b) c) 2ec (t-b) u (t-b) d) 2ec (t-b) u (t+b) 7. The Laplace transform of the function e 2t cos(3t) + 5e-2t sin(3t) is (s+2) - 15 a) (s + 2)² +9 (s + 2) + 15 b) (s+ 2)²-9 (s + 2) + 15 c) (s + 2)² +9 (s+2) - 15 d) B2 e-bs

Introductory Circuit Analysis (13th Edition)

13th Edition

ISBN:9780133923605

Author:Robert L. Boylestad

Publisher:Robert L. Boylestad

Chapter1: Introduction

Section: Chapter Questions

Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...

See similar textbooks

Similar questions

Suppose there is a sequence x[n] = [2, -1, 0, c, 1] where the value of c is unknown. X[k] is the DFT of x[n]. Let Y[k] = X[k]exp(i6πk/5). The inverse fourier transform of Y is y[n] = [2, 1, 2, -1, 0]. What is the value of c?
Given the finite-duration sequence below, x[n]={-4,1,2,0,3} where -4 is when n=0, if it has a fourier transform of X(w) , what is the value of X(0)?
1. Discrete Fourier Transform: Use the Fast Fourier Transform algorithm to compute the 8-point Dis- crete Fourier Transforms of sequences (1,0,1,0,1,0, 1,0) and (1,1,1,1,0,0,0,0). Provide detailed calculations with intermediate steps rather than just the results.
Let x(t) = sin^2(2pit), a periodic signal of fundamental period T0 = 1, and y(t) = |sin(2pit)| also periodic of the same fundamental period (a) A trigonometric identity gives that x(t) = 0.5[1-cos(4pit)]. Use this result to find its complex exponential Fourier series (b) Use the Laplace transform to find the Fourier series of y(t) (c) Are x(t) and y(t) identical? Explain. (d) Indicate how you would use an ideal low-pass filter to get a dc source from x(t) and y(t). Indicate the bandwidth and magnitude of the filters. Which of these two signals is used for generating full-waved rectified dc source?
The Fourier transform of a continuous-time signal x(t) is denoted by X(ω). Apply CTFT properties to obtain the Fourier Transform of x(3t+7).
The topic is signals and systems. Problem 2. (F02) Find the CTFT (continous-time Fourier Transform) of the signal below. x(t) = sin(ωt + φ)r(t) , ω>0 r(t) is the ramp function: r(t) =tu(t)
What are the analytical fourier transform of these functions? (G(f), H(f), J(f)) (a ≠ 0: reel) G(t) = e(-jat^2) , j2 = -1 H(t) = cos(at2) J(t) = 1/√|?|
Regarding Signals and Systems, the Fourier Transformation of x(t) is given by X(jω)=F{x(t)}. The time duality property is X(jt)=2πx(-ω). My question is how do you go from x(t) to X(jt) and from x(-ω) to X(jω)? Thank you!
If g(k) = F{f(x)} where F is the Fourier transform, show (a), (b) and (c) when a>0 and a<0
Show that the Fourier Transform of the Fourier Transform, F{F{f(x)}}, and the Inverse transform of the Fourier transform, F -1 {F(k)}, are not equal to each other
please solve this three question. 1. Find the Discrete Fourier Transform (DFT) of {x(0), x(1), x(2), x(3)} = {i, 1, 2, 0}, N = 4. 2. Find the Inverse Discrete Fourier Transform (IDFT) of the sequence {X(0), X(1), X(2), X(3)} = {1, −i, −1, i}, N = 4 3. Find the Discrete Fourier Transform by using Fast Fourier Transform (FFT) for {x(0), x(1), x(2), x(3)} = {0, 1, 4, 9}, N = 4
The rectangular pulse shown can be expressed as the differencebetween two step voltages; that is, v(t)=Vm u (t + τ2) - Vm u (t - τ2) V. Use the operational transform for translation in the time domain to findthe Fourier transform of v(t).