7.29 Given (a) Compute the frequency response H(es) (b) Compute the output y[n].
a/ If the impulse response of an FIR filter is h[n] = δ[n] - 4δ[n-1] + δ[n-2], make a plot of the output when the input is the signal: x[n] = δ[n-2] - δ[n-4]. b/ Determine the frequency response, H(ω), and give the answer as a simple formula. c/ Determine the magnitude of H(ω) and present your answer as a plot of the magnitude vs frequency. Label important features.
2.48 A filter has frequency response function H(f) Π(f/28) and input x(t) = 2Wsinc (2W1). (a) Find the output y(t) for W < B (b) Find the output y(a) for W > B. (c) In which case does the output suffer distortion?
2.48 A filter has frequency response function H(f) Π(f/28) and input x(t) = 2Wsinc (2W1). (a) Find the output y(t) for W B. (c) In which case does the output suffer distortion?
1. Given the impulse response, h[n duration 50 samples. (-0.9)"u[n, find the step response for a step input of h-(0.9)-10:491 -ones (1,50) s- conv(u,h) 2. Plot h and u using stem function for 50 samples only stem(10:491, s(1:50) 1. Given a system described by the following difference equation: yIn] 1143yn 1 0.4128y[n -2 0.0675x[n0.1349xn 0.675x[n-2] Determine the output y in response to zero input and the initial conditionsy-11 and yl-2] 2 for 50 samples using the following commands: a -,-1.143,...
An LTI system has the frequency response H(o) Tja,+3)(jo+41 Τω+5) Compute the output if the input is x()-2cos (5t). 2
[10 points) Compute the frequency response H(12) for each of the following discrete-time systems: (a) y[k] = f[k] – 0.4f[k +5] (b) yſk] = f[k + 2] +0.2yſk – 4)
4. The impulse response of a system is given by h[n]=(0.3)"u[n]. If the input to the system is x[r]=(-0.6)" u [n], giving an output of y[n]=[n]*x[n]: a. (5 pts) Find the spectrum of the output, Y(e/2/). b. (10 pts) Use partial fraction decomposition to rewrite Y (e/2*) as a sum of two terms then take the inverse DTFT to find the output, y[n]
Compute the unit-pulse response h[n] for the discrete-time system y[n + 2] - 2y[n + 1] + y[n] = x[n] (for n = 0, 1, 2, 3).
Consider a LTI system with impulse response h[n] = u[n]*a^n, where |a| < 1. a) Determine the frequency response of the system. b) Find the magnitude response and the phase response, given a = 1/2. No plots. c) Consider a LTI system whose impulse response h1[n] is a time-shifted version of h[n], i.e., h1[n] = h[n − n0]. Compute the frequency response H1(e^(jΩ)), and represent H1(e^(jΩ)) in terms of H(e^(jΩ)).
6.(20%) Given a filter with frequency response function 5 F[h(t)=H=4+j(2f) 3 and given an input x(t) eu(t) with its Fourier transform by 1 = *U)-3+ j(27f) F[x()] (10%) (a) Obtain the energy spectral density G,(f) for the input signal x(t) (10%) (b) Obtain the energy spectral density G.(f) for the output signal y(t)
6.(20%) Given a filter with frequency response function 5 F[h(t)=H=4+j(2f) 3 and given an input x(t) eu(t) with its Fourier transform by 1 = *U)-3+ j(27f) F[x()]...
(2) Consider the causal discrete-time LTI system with an input r (n) and an output y(n) as shown in Figure 1, where K 6 (constant), system #1 is described by its impulse response: h(n) = -36(n) + 0.48(n- 1)+8.26(n-2), and system # 2 has the difference equation given by: y(n)+0.1y(n-1)+0.3y(n-2)- 2a(n). (a) Determine the corresponding difference equation of the system #1. Hence, write its fre- quency response. (b) Find the frequency response of system #2. 1 system #1 system #2...