[2] Delay the signal by say 32 samples and reduce its amplitude by factor of say α = 0.7, call this xd(n) as shown below: xd(n) 5α n=34 N=25

Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
Problem 1P: Visit your local library (at school or home) and describe the extent to which it provides literature...
icon
Related questions
Question

i want to answer question 2

[1]
[2]
[3]
[4]
[5]
[6]
Generate a single pulse for the transmitted signal as shown b
x(n)
5
0 n=4
Delay the signal by say 32 samples and reduce its amplitude by
factor of say a = 0.7, call this xd(n) as shown below:
xd(n)
5α
0
n=34
N=25
Generate N=256 samples of Gaussian random signal and call t
Generate the simulated received signal by adding the transmitt
and the noise signal w(n), i.e.
r(n) = ax(n-d) + sigman x w(n)
Where sigman is the noise amplitude (initially set this
using subplot(2,2,1), plot the signals x(n), xd(n), and r(n). A
and grid the each plot.
Estimate the cross-correlation sequence R.(m) and plot in
quadrant of the figure. Note, plot only half the samples of t
correlation sequence returned by the function xcorr. This ca
follows:
% Assuming there are N samples of x
Y=xcorr(r,x);
R=Y(1:N);
Rrx-fliplr(R);
Transcribed Image Text:[1] [2] [3] [4] [5] [6] Generate a single pulse for the transmitted signal as shown b x(n) 5 0 n=4 Delay the signal by say 32 samples and reduce its amplitude by factor of say a = 0.7, call this xd(n) as shown below: xd(n) 5α 0 n=34 N=25 Generate N=256 samples of Gaussian random signal and call t Generate the simulated received signal by adding the transmitt and the noise signal w(n), i.e. r(n) = ax(n-d) + sigman x w(n) Where sigman is the noise amplitude (initially set this using subplot(2,2,1), plot the signals x(n), xd(n), and r(n). A and grid the each plot. Estimate the cross-correlation sequence R.(m) and plot in quadrant of the figure. Note, plot only half the samples of t correlation sequence returned by the function xcorr. This ca follows: % Assuming there are N samples of x Y=xcorr(r,x); R=Y(1:N); Rrx-fliplr(R);
Expert Solution
steps

Step by step

Solved in 2 steps with 3 images

Blurred answer
Knowledge Booster
Types of Resonance and Different Parameter
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, electrical-engineering and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
Introductory Circuit Analysis (13th Edition)
Introductory Circuit Analysis (13th Edition)
Electrical Engineering
ISBN:
9780133923605
Author:
Robert L. Boylestad
Publisher:
PEARSON
Delmar's Standard Textbook Of Electricity
Delmar's Standard Textbook Of Electricity
Electrical Engineering
ISBN:
9781337900348
Author:
Stephen L. Herman
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Electrical Engineering
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education
Fundamentals of Electric Circuits
Fundamentals of Electric Circuits
Electrical Engineering
ISBN:
9780078028229
Author:
Charles K Alexander, Matthew Sadiku
Publisher:
McGraw-Hill Education
Electric Circuits. (11th Edition)
Electric Circuits. (11th Edition)
Electrical Engineering
ISBN:
9780134746968
Author:
James W. Nilsson, Susan Riedel
Publisher:
PEARSON
Engineering Electromagnetics
Engineering Electromagnetics
Electrical Engineering
ISBN:
9780078028151
Author:
Hayt, William H. (william Hart), Jr, BUCK, John A.
Publisher:
Mcgraw-hill Education,