Design a mixed congruence generator (LCG) with a modulus of m =(6000) to develop a pseudonoise sequence having a length of (6000) samples (full period) (a) Carefully document your design procedure. (b) Implement the generator using MATLAB. (c) Test the random generator using Scatterplots. Carefully document the test procedure with MATLAB code and attach results (d) Test the randomness of the your generator using Durbin-Watson test, carefully document the test procedure with MATLAB code and attach results
Design a mixed congruence generator (LCG) with a modulus of m =(6000) to develop a pseudonoise sequence having a length of (6000) samples (full period) (a) Carefully document your design procedure. (b) Implement the generator using MATLAB. (c) Test the random generator using Scatterplots. Carefully document the test procedure with MATLAB code and attach results (d) Test the randomness of the your generator using Durbin-Watson test, carefully document the test procedure with MATLAB code and attach results
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
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Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Transcribed Image Text:Design a mixed congruence generator (LCG) with a modulus of m (6000) to develop a
pseudonoise sequence having a length of (6000) samples (full period)
(a) Carefully document your design procedure.
(b) Implement the generator using MATLAB.
(c) Test the random generator using Scatterplots. Carefully document the test
procedure with MATLAB code and attach results
(d) Test the randomness of the your generator using Durbin-Watson test, carefully
.document the test procedure with MATLAB code and attach results
(e) Are the results in part d) satisfactory? If not, redesign your generator.
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