How to apply "switch" function to this question.
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The data generator module is used to generate a sequence of complex-valued infirmation symbols{a(n)}. In particular, employ four equally probable symbols s + js, s − js, −s + js, and −s − js, where s is a scale factor that may be set to s = 1, or it can be an input parameter.
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Walter Roberson
el 12 de Oct. de 2022
What is to be tested? What are the desired outcomes?
If you have an input that is 0 1 2 3 then add one and use that to index a vector of complex constants.
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Sai Teja G
el 4 de Sept. de 2023
Hi Phoom,
I understand that you want to use ‘switch’ function to resolve which equation to be used.
To utilize the 'switch' function, you need a variable that will be compared or checked. Based on the value of this variable, you can select one of the four equations in your case. Since each equation should have an equal opportunity, you can randomly generate a variable ranging from 1 to 4. You can achieve this by using the 'randi()' function. Here's an example code snippet:
% Generate a random integer between 1 and 4
randomNumber = randi([1, 4]);
% Use the 'switch' function based on the random number
switch randomNumber
case 1
% Equation 1
% Perform necessary operations
case 2
% Equation 2
% Perform necessary operations
case 3
% Equation 3
% Perform necessary operations
case 4
% Equation 4
% Perform necessary operations
end
In this code, the 'randomNumber' variable will be randomly assigned a value from 1 to 4. Based on this value, the corresponding case in the 'switch' statement will be executed, allowing you to perform the required operations for that specific equation.
Hope it helps!
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Walter Roberson
el 4 de Sept. de 2023
s = 1;
possible_outcomes = [ s + 1j*s, s - 1j*s, -s + 1j*s, -s - 1j*s];
N = 50;
randomNumber = randi(numel(possible_outcomes), N, 1);
randomData = possible_outcomes(randomNumber);
scatter(real(randomData), imag(randomData))
xlim([-1.1 1.1]); ylim([-1.1 1.1])
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