A discrete-time signal x_d[n] has a Fourier transform X_d(e^j omega)with the property that X_d(e-j omega) =...
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...
Consider the continuous time signal: 2. , π (sin (2t) (Sin (8t) A discrete time signal x[n] -xs(t) -x(nTs) is created by sampling x() with sampling interval, 2it 60 a) Plot the Fourier Transform of the sampled signal, i.e. Xs (jo). b) Plot the DTFT of the sampled signal, ie, X(eja) o) Repeat (a) with 7, 2π d) Repeat (b) with , 18 Consider the continuous time signal: 2. , π (sin (2t) (Sin (8t) A discrete time signal x[n]...
10ρ 18ρ A signal (t) has the Fourier transform X(jw) indicated in the figure. The signal is sampled to obtain the discrete time signal 1. Sketch the Fourier transform Xr(jw) of x[n] for T-to. 2. Can x(t) be recovered for T? How? What is the maximum value of T so that r(t) can be recovered? 10ρ 18ρ A signal (t) has the Fourier transform X(jw) indicated in the figure. The signal is sampled to obtain the discrete time signal 1....
(a) Consider a discrete-time signal v[n] satisfying vn0 except if n is a multiple of some fixed integer N. i.e oln] -0, otherwise where m is an integer. Denote its discrete-time Fourier transform by V(eJ"). Define y[nl-v[Nn] Express Y(e) as a function of V(e). Hint : If confused, start with N-2 (b) Consider the discrete-time signal r[n] with discrete-time Fourier transform X(e). Now, let z[n] be formed by inserting two zeroes between any two samples of x[n]. Give a formula...
Consider the discrete time signal x[n]: 13 -5 10 2.5 Compute the discrete time Fourier transform (DTFT) X (A). Find the period ofX(Q). Hint: First write the x[n] showed above as two pulse functions then take the DTFT using the equation given below Express discrete Fourier transform (DFT) of x[n] using DTFT X(Q). a. b. Consider the discrete time signal x[n]: 13 -5 10 2.5 Compute the discrete time Fourier transform (DTFT) X (A). Find the period ofX(Q). Hint: First...
Consider a discrete time signal \(y[n]=\frac{\sin (\pi n / 5)}{\pi n}+\cos (\pi n / 10) .\) Let's build the continuous time representation of \(y[n]\) using \(T_{s}=1 / 10\) as follows:$$ y_{\delta}(t)=\sum_{n=-\infty}^{\infty} y[n] \delta\left(t-n T_{s}\right)=\sum_{n=-\infty}^{\infty} y[n] \delta(t-n / 10) $$Choose the right expression for \(Y_{\delta}(j \omega)\).(Hint: You can first sketch \(Y\left(e^{j \Omega}\right)\). Then, you can obtain the sketch of \(Y_{\delta}(j \omega)\) from \(Y\left(e^{j \Omega}\right)\). Note that in the earlier lecture on sampling, we derived that \(Y_{\delta}(j \omega)=\left.Y\left(e^{j \Omega}\right)\right|_{\Omega=\omega T_{x}}=Y\left(e^{j \omega T_{\nu}}\right)\).In...
The discrete-time Fourier transform (DTFT) representation is given by: ?[?] = 1 ∫? ?(???)?????? Where 2? −? ∞?(???) = ∑ ?[?]?−????=−∞ Compute and plot the frequency spectrum of the Fourier transform for the discrete-time signal: −2 ? = −3, 1, 3?[?] = {3 ? = −4, −2, −1, 0, 2 , 4 , 50 ??ℎ??????
Problem 2 Consider a continuous-time signal x(t), of which the Fourier transform is ( 21f # (1)= 1° X(t)e=1218i dt = le 1000 15 1 400 lo otherwise Discrete-time signal x[n] is obtained by sampling x(t) at sampling at every 1 us -i.e., x[n] = xy(10ºn). (a) Write discrete-time Fourier transform of x[n], X (elo). (b) Plot the magnitude and phase response of X (ejm).
Determine the Discrete Time Fourier Transform (DTFT) of the following discrete-time signal. x[n]=n0.1" u(n) 1-0 1e112 0970.1e* 5) -0.12- e in 1-0.1e) C), ei (1+0.2e-in d) =-*+0.2e-10 e / +0.2012
Please solve using the Discrete-Time Fourier Transform: Given a filter described by the difference equation y[n] = x[n] + 2x[n - 1] + x[n - 3] where x[n] is the input signal and y[n] is the output signal. a) Find H[n] the impulse response of the filter. b) Plot the impulse response c) Find the value of H( Ω) for the following values of Ω = 0, pi, pi/2, and pi/4