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QUESTION 15 Let x[n] be a real sequence of Fourier transform X(w)....
Problem 3: Let x(n) be an arbitrary signal, not necessarily real valued, with Fourier transform X (w). Express the Fourier transforms of the following signals in terms of X() (C) y(n) = x(n)-x(n-1) (...
Problem 3: Let x(n) be an arbitrary signal, not necessarily real valued, with Fourier transform X (w). Express the Fourier transforms of the following signals in terms of X() (C) y(n) = x(n)-x(n-1) (d) v(n) -00x(k) (e) y(n)=x(2n) (f) y n even n odd , x(n/2), (n) 0 Problem 4: etermine the signal x(n) if its Fourier transform is as given in Fig. P4.12. X(a) 0 10 10 10 X(o) 0 X(a) Figure P4.12
Problem 3: Let x(n) be an...
Matlab Question#1: Determine the discrete-time Fourier transform of x(n) (0.8y'n u(n)+(0.1)'n u(n) Evaluate Xei) at 501 equispaced. points between [0,pi] and plot its magnitude, angle, re...
Matlab Question#1: Determine the discrete-time Fourier transform of x(n) (0.8y'n u(n)+(0.1)'n u(n) Evaluate Xei) at 501 equispaced. points between [0,pi] and plot its magnitude, angle, real, and imaginary parts Matlab Question#2: Determine the discrete-time Fourier transform of Evaluate Xei) at 1001 equispaced points between [0pi] and plot its magnitude, angle, real, and imaginary parts. Matlab Question#3: Compute the FT values at the prescribed frequency points and plot the real and imaginary parts and the magnitude and phase spectrums. The FT...
Problem 4 Let hn] be the sequence whose Fourier transform H(w) is real and as follows and let g[n] = (-1)"h[n] a-3 pts) Plot G(w) for w E-π, π]. Detail your derivations. Make sure to show the max...
Problem 4 Let hn] be the sequence whose Fourier transform H(w) is real and as follows and let g[n] = (-1)"h[n] a-3 pts) Plot G(w) for w E-π, π]. Detail your derivations. Make sure to show the maximuin value of G(w) b - [2 pts| Derive explicitly the impulse response of the following system n] Hint: Besides some graphical consideration, there is no calculation. The answer is mostly based orn the use of properties. c - 3 pts] Up to...
Q1. Let x(n) be a complex values sequence with real part xr(n) and the imaginary part...
Q1. Let x(n) be a complex values sequence with real part xr(n) and the imaginary part xi(n). Prove the following z-transform two relations: XR(2) 4 Z [ZR(n)] = _X(z) + X* (z*) 2 and X (2) - X* (*) X1() = Z XI(n) = - 2 Must you use only MATLAB in your proof, and for x(n), use two random sequences for real and the imaginary parts.
2. Calculate the inverse Fourier transform of X(cfw) = {2 2j 0 <W <T -2j -n<w...
2. Calculate the inverse Fourier transform of X(cfw) = {2 2j 0 <W <T -2j -n<w < 3. Given that x[n] has Fourier transform X(@j®), express the Fourier transforms of the following signals in terms of X(el“) using the discrete-time Fourier transform properties. (a) x1[n] = x[1 – n] + x[-1 - n] (b) x2 [n] = x*[-n] + x[n]
1. Let x[n] be a periodic sequence with period N with Fourier series representation x[n] =...
1. Let x[n] be a periodic sequence with period N with Fourier series representation x[n] = akek(34)n k=<N> Assume that N is even. Derive the expressions for the following signals (a) x[n] – x[n – (b) x[n] + x[n + 1 (Note that this signal is periodic with period ) (c) (-1)" x[n]
Problem 4 Let x(t) be a continuous time signal whose Fourier transform has the property that Xe(ja)0 for lal 2 2,00...
Problem 4 Let x(t) be a continuous time signal whose Fourier transform has the property that Xe(ja)0 for lal 2 2,000. A discrete time signal aIn]x(n(0.5x 10-3)) is obtained. For each of the following constra ints on Xa(e/n), the Fourier transform of xaln], determine the coresponding constraint on Xe(ja) a) X(en) is real b) The maximum value of X4 (ea) over all is 1 c) Xa(ea)= Xa(e/ a-)
Problem 4 Let x(t) be a continuous time signal whose Fourier transform...
5) (1pt) Assume x(t) with Fourier Transform X(w) shown below (where 1X(15)1-3 and 1X(4511e1). Assume x(t)...
5) (1pt) Assume x(t) with Fourier Transform X(w) shown below (where 1X(15)1-3 and 1X(4511e1). Assume x(t) is the input to a system with |H(w)| shown below. Let yt) be the output of the system and Y(w) be its Fourier Transform. Sketch IYwll. Make sure to mark the most significant points in the graph for full credit IX(w) IY(w) -60 0 60 w IH(w)l 45 -15 0 15 45 X,(w) X,(w) ?6) (1pt) Assume two signals x1(t) and x2(t) have Fourier...
A discrete-time signal xin] is periodic with period 8. One period of its Discrete Fourier Transform...
A discrete-time signal xin] is periodic with period 8. One period of its Discrete Fourier Transform (DFT) harmonic function is (X[0], X[7]} = [3,4 + j5,-4 -j3,1+ j5,-4,1 j5,-4 + j3, 4 - j5). Solve the following: Average value of x[n] (i) [3 marks] Signal power ofx[n]. (ii) [5 marks] [n] even, odd or neither (iii) [3 marks]
A discrete-time signal xin] is periodic with period 8. One period of its Discrete Fourier Transform (DFT) harmonic function is (X[0], X[7]}...
2. Discrete Fourier Transform.(/25) 1. N-th roots of unity are defined as solutions to the equation:...
2. Discrete Fourier Transform.(/25) 1. N-th roots of unity are defined as solutions to the equation: w = 1. There are exactly N distinct N-th roots of unity. Let w be a primitive root of unity, for example w = exp(2 i/N). Show the following: N, if N divides m k=0 10, otherwise N -1 N wmk 2. Fix and integer N > 2. Let f = (f(0), ..., f(N − 1)) a vector (func- tion) f : [N] →...
Problem 3: Let x(n) be an arbitrary signal, not necessarily real valued, with Fourier transform X (w). Express the Fourier transforms of the following signals in terms of X() (C) y(n) = x(n)-x(n-1) (d) v(n) -00x(k) (e) y(n)=x(2n) (f) y n even n odd , x(n/2), (n) 0 Problem 4: etermine the signal x(n) if its Fourier transform is as given in Fig. P4.12. X(a) 0 10 10 10 X(o) 0 X(a) Figure P4.12
Problem 3: Let x(n) be an...
Matlab Question#1: Determine the discrete-time Fourier transform of x(n) (0.8y'n u(n)+(0.1)'n u(n) Evaluate Xei) at 501 equispaced. points between [0,pi] and plot its magnitude, angle, real, and imaginary parts Matlab Question#2: Determine the discrete-time Fourier transform of Evaluate Xei) at 1001 equispaced points between [0pi] and plot its magnitude, angle, real, and imaginary parts. Matlab Question#3: Compute the FT values at the prescribed frequency points and plot the real and imaginary parts and the magnitude and phase spectrums. The FT...
Problem 4 Let hn] be the sequence whose Fourier transform H(w) is real and as follows and let g[n] = (-1)"h[n] a-3 pts) Plot G(w) for w E-π, π]. Detail your derivations. Make sure to show the maximuin value of G(w) b - [2 pts| Derive explicitly the impulse response of the following system n] Hint: Besides some graphical consideration, there is no calculation. The answer is mostly based orn the use of properties. c - 3 pts] Up to...
Q1. Let x(n) be a complex values sequence with real part xr(n) and the imaginary part xi(n). Prove the following z-transform two relations: XR(2) 4 Z [ZR(n)] = _X(z) + X* (z*) 2 and X (2) - X* (*) X1() = Z XI(n) = - 2 Must you use only MATLAB in your proof, and for x(n), use two random sequences for real and the imaginary parts.
2. Calculate the inverse Fourier transform of X(cfw) = {2 2j 0 <W <T -2j -n<w < 3. Given that x[n] has Fourier transform X(@j®), express the Fourier transforms of the following signals in terms of X(el“) using the discrete-time Fourier transform properties. (a) x1[n] = x[1 – n] + x[-1 - n] (b) x2 [n] = x*[-n] + x[n]
1. Let x[n] be a periodic sequence with period N with Fourier series representation x[n] = akek(34)n k=<N> Assume that N is even. Derive the expressions for the following signals (a) x[n] – x[n – (b) x[n] + x[n + 1 (Note that this signal is periodic with period ) (c) (-1)" x[n]
Problem 4 Let x(t) be a continuous time signal whose Fourier transform has the property that Xe(ja)0 for lal 2 2,000. A discrete time signal aIn]x(n(0.5x 10-3)) is obtained. For each of the following constra ints on Xa(e/n), the Fourier transform of xaln], determine the coresponding constraint on Xe(ja) a) X(en) is real b) The maximum value of X4 (ea) over all is 1 c) Xa(ea)= Xa(e/ a-)
Problem 4 Let x(t) be a continuous time signal whose Fourier transform...
5) (1pt) Assume x(t) with Fourier Transform X(w) shown below (where 1X(15)1-3 and 1X(4511e1). Assume x(t) is the input to a system with |H(w)| shown below. Let yt) be the output of the system and Y(w) be its Fourier Transform. Sketch IYwll. Make sure to mark the most significant points in the graph for full credit IX(w) IY(w) -60 0 60 w IH(w)l 45 -15 0 15 45 X,(w) X,(w) ?6) (1pt) Assume two signals x1(t) and x2(t) have Fourier...
A discrete-time signal xin] is periodic with period 8. One period of its Discrete Fourier Transform (DFT) harmonic function is (X[0], X[7]} = [3,4 + j5,-4 -j3,1+ j5,-4,1 j5,-4 + j3, 4 - j5). Solve the following: Average value of x[n] (i) [3 marks] Signal power ofx[n]. (ii) [5 marks] [n] even, odd or neither (iii) [3 marks]
A discrete-time signal xin] is periodic with period 8. One period of its Discrete Fourier Transform (DFT) harmonic function is (X[0], X[7]}...
2. Discrete Fourier Transform.(/25) 1. N-th roots of unity are defined as solutions to the equation: w = 1. There are exactly N distinct N-th roots of unity. Let w be a primitive root of unity, for example w = exp(2 i/N). Show the following: N, if N divides m k=0 10, otherwise N -1 N wmk 2. Fix and integer N > 2. Let f = (f(0), ..., f(N − 1)) a vector (func- tion) f : [N] →...
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