Question

4. Consider the magnitude and phase of the frequency response Hi(2) of a linear and time-invariant (LTI) discrete-time System 1, given for-r < Ω-T, as: H, (12)| 10 phase H1(Ω)--0 for all Ω (a) Suppose an 5cos(n s input to System 1. Find the output ya[n] (b) Suppose ancos(is input to System 1. Find the output ybn] (c) Suppose I take the discrete-time signal from part (a): xa[n] 5cos(n), but I remove half of the values: to arrive at a new signal ren] ra2n]. I now input ren into System 1 and get the output yen. Find yen] Next, consider the frequency response H2(2) of a linear and time-invariant (LTI) discrete-time Sys- tem 2, given for-π-S2-T, as H2(2) 10 -2 (d) Suppose xdn5cos() is input to System 2. Find the output yd[n]. (Hint: If you can get part (e), it might give you a different way to solve this part.) (e) Suppose the impulse response of System 1 is given by hi[n Write h2[n], the impulse response of System 2, in terms of hi[n]

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
4. Consider the magnitude and phase of the frequency response Hi(2) of a linear and time-invariant...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 3. (10 points) Two linear time invariant (LTI) systems with impulse response hi(k) and h2(k) are...

    3. (10 points) Two linear time invariant (LTI) systems with impulse response hi(k) and h2(k) are connected in cascade as shown in Figure 1. Let x(k) be the input, yı(k) be the output of the first LTI, and y2(k) be the output of the second LTI. Let hi(k) = k(0.7)k u(k), h2(k) = ku(k), and x(k) = (0.3)k u(k). Use z-transform to (a) find yı(k). (b) find y2(k). x(k) yi(k) y2(k) hi(k) h2(k)

  • Part B, Part C and Part D...Thanks Question 1 Consider the interconnection of Linear Time-Invariant (L.TI)...

    Part B, Part C and Part D...Thanks Question 1 Consider the interconnection of Linear Time-Invariant (L.TI) system shown in Figure Q1: h2(n) Figure Ql The individual impulse responses are defined as: 1, n=0,1,2 L0, elsewhere hi (n) h2(n) (n)(u(n) -u(n 3)) h3 (n) 6(n 2) a) Define Lincar Time-Invariant (LTI) system. (3 marks) b) Determine the overall impulse response htotal (n). (12 marks) o) Determine the output y(n) if the system is excited with the following input: x(n) = δ(n...

  • Q8) Consider the following causal linear time-invariant (LTI) discrete-time filter with input x[n...

    Q8) Consider the following causal linear time-invariant (LTI) discrete-time filter with input x[n] and output y[n] described by bx[n-21- ax[n-3 for n 2 0, where a and b are real-valued positive coefficients. A) Is this a finite impulse response (FIR) or infinite impulse response (IIR) filter? Why? B) What are the initial conditions and their values? Why? C) Draw the block diagram of the filter relating input x[n] and output y[n] D) Derive a formula for the transfer function in...

  • The impulse response h(t) of a linear time-invariant system is 2*pi[(t-2)/2]. Find and plot the output...

    The impulse response h(t) of a linear time-invariant system is 2*pi[(t-2)/2]. Find and plot the output when the system is driven by an input signal that is identical to the impulse response.

  • PROBLEM 7.3*: The diagram in Fig. 2 depicts a cascade connection of two linear time-invariant (LTI)...

    PROBLEM 7.3*: The diagram in Fig. 2 depicts a cascade connection of two linear time-invariant (LTI) systems; i.e., the output of the first system is the input to the second system, and the overall output is the output of the second system. [n] yi[n] y[n] LTI System #1 hin] LTI System #2 h2[1] Figure 2: Cascade connection of two LTI systems. (a) Suppose that System #1 is a "blurring" filter described by the following equation y1 [n] =arn-k] k=0 and...

  • Problem 9.5 (Superposition input) A linear time-invariant system has frequency response The input...

    Problem 9.5 (Superposition input) A linear time-invariant system has frequency response The input to the system is zin] = 5 + 20 cos(0.5mn + 0.25m) + 108[n-3]. Use superposition to determine the corresponding output vin] of the LTI system for-oo < nく00. Problem 9.5 (Superposition input) A linear time-invariant system has frequency response The input to the system is zin] = 5 + 20 cos(0.5mn + 0.25m) + 108[n-3]. Use superposition to determine the corresponding output vin] of the LTI...

  • Explain how fourier transform is done? 1. (8 points) Suppose a particular discrete-time linear and time-invariant...

    Explain how fourier transform is done? 1. (8 points) Suppose a particular discrete-time linear and time-invariant (LTI) system has frequency response H(e) and that when its input is z[n] = 2 cos (n). the corresponding output is y[n] = 6 cos (n+ ) Find the real part and imaginary part of H(e)") at w = .

  • (c) If the impulse response function of a linear time invariant (LTI) system is h0)-Se u(),...

    (c) If the impulse response function of a linear time invariant (LTI) system is h0)-Se u(), compute the output of this system due to an input ) which is a 4 second pulse of height 3, as shown in Fig.1 below. x(t) t(sec) 0 Fig.1 Input signal 10 marks/

  • The diagram in Fig. 1 depicts a cascade connection of two linear time-invariant systems; i.e., the...

    The diagram in Fig. 1 depicts a cascade connection of two linear time-invariant systems; i.e., the output of the first system is the input to the second system, and the overall output is the output of the second system. LTI System #1 hi[n] LTI System #2 h21n] r[n] iIn] yInl Figure 1: Cascade connection of two LTI systems (a) Suppose that System #l is a blurring filter described by the impulse response 0 "=0.1.2.3.4.5 n>5 and System #2 is described...

  • 6. (15) Consider the following causal linear time-invariant (LTT) discrete-time filter with input in and output...

    6. (15) Consider the following causal linear time-invariant (LTT) discrete-time filter with input in and output yn described by y[n] = x[n] – rn - 2 for n 20 . Is this a finite impulse response (FIR) or infinite impulse response (IIR) filter? Why? • What are the initial conditions and their values for this causal and linear time-invariant system? Why? • Draw the block diagram of the filter relating input x[n) and output y[n] • Derive a formula for...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT