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i) Generate a signal pulse for the transmitted signal as shown below: h ii) Delay the signal by say 32 samples and reduce its amplitude by an attenuation factor of say α = 0.7, call this xd(n) as shown below: xd(n) in N-256 N-256 iii) Generate N=256 samples of Gaussian random signal and call this w(n).

i) Generate a signal pulse for the transmitted signal as shown below: h ii) Delay the signal by say 32 samples and reduce its amplitude by an attenuation factor of say α = 0.7, call this xd(n) as shown below: xd(n) in N-256 N-256 iii) Generate N=256 samples of Gaussian random signal and call this w(n).

Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
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Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
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Task 17: i) Generate a signal pulse for the transmitted signal as shown below: 5 x(n) 0 =4 ii) Delay the signal by say 32 samples and reduce its amplitude by an attenuation factor of say a=0.7, call this xd(n) as shown below: xd(n) Sa in N-256 N-256 iii) Generate N=256 samples of Gaussian random signal and call this w(n). iv) Generate the simulate received signal by adding the transmitted signal x(n) and the noise signal w(n), i.e. r(n) = ax(n-d) + sigman xw(n) Where sigman is the noise amplitude (initially set this to 1).
Transcribed Image Text:Task 17: i) Generate a signal pulse for the transmitted signal as shown below: 5 x(n) 0 =4 ii) Delay the signal by say 32 samples and reduce its amplitude by an attenuation factor of say a=0.7, call this xd(n) as shown below: xd(n) Sa in N-256 N-256 iii) Generate N=256 samples of Gaussian random signal and call this w(n). iv) Generate the simulate received signal by adding the transmitted signal x(n) and the noise signal w(n), i.e. r(n) = ax(n-d) + sigman xw(n) Where sigman is the noise amplitude (initially set this to 1).
v) Using subplot(2,2,1), plot the signal x(n), xd(n) and r(n). Appropriately label and grid the each plot. vi) Estimate the cross-correlation sequence Rx(m) and plot in the fourth quadrant of the figure. Note, plot only half the samples of the cross correlation sequence returned by the function xcorr. vii) From the plot estimate the delay. Does it agree with the theoretical delay value? viii) Repeat the simulation for some values of o, sigman, and N? ix) Comment on your findings?
Transcribed Image Text:v) Using subplot(2,2,1), plot the signal x(n), xd(n) and r(n). Appropriately label and grid the each plot. vi) Estimate the cross-correlation sequence Rx(m) and plot in the fourth quadrant of the figure. Note, plot only half the samples of the cross correlation sequence returned by the function xcorr. vii) From the plot estimate the delay. Does it agree with the theoretical delay value? viii) Repeat the simulation for some values of o, sigman, and N? ix) Comment on your findings?
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