Question Current code: %%% N = 120; n = 0:N-1; x0 = [zeros(10,1);… Current code:%%%N = 120;n = 0:N-1;x0 = [zeros(10,1); ones(100,1); zeros(10,1)];x0 = x0/norm(x0);x1 = [zeros(10,1); ones(50,1); -ones(50,1); zeros(10,1)];x1 = x1/norm(x1);signals=[x0,x1];subplot(311)stem(n,x0,’b’,’Marker’,’none’,’LineWidth’,1)title(‘Signal x0 – Transmit to send a digital 0′,’fontsize’,18)subplot(312)stem(n,x1,’r’,’Marker’,’none’,’LineWidth’,1)title(‘Signal x1 – Transmit to send a digital 1′,’fontsize’,18)% received signal is either x0 or x1 with additive noisey = signals(:,round(rand(1,1))+1) + 0.2*randn(size(x1));y=y./norm(y); % normalize ysubplot(313)stem(n,y,’k’,’Marker’,’none’,’LineWidth’,1)title(‘Received signal – Was it a 0 or 1?’,’fontsize’,18)% computes the inner products between y and both x0 and x1:innerproduct0 = abs( y’ * x0 )innerproduct1 = abs( y’ * x1 )%%%%%%%% Write code below that stores a 0 or 1 into RECEIVEDBIT%%%% based upon whether x0 or x1 was the more likely transmission%%%% (hint: it should only take one or two lines of code)RECEIVEDBIT=? Modify the code to develop a set of sixteen signals of your creation (each signal will represent three bits of information). Be creative. Use the EdX code or the signals shown in class as a guide. o Each signal must be of length 256. o Each signal must be orthogonal to every other signal in the set o All individual values of the signal (unnormalized) must be either zero, one or negative one. o The Matlab script must contain commands that prove the signals are all orthogonal to each other ? You may use the dot() function to verify orthogonality between two signals o Modify the signals matrix to include all signals as columns o Create code that chooses one of the signals at random for transmission and adds a random amount of noise. ? The choice should be made with equal probability across the sixteen signals ? This new signal will be the received signal, RX o All signals should be normalized as shown in the example o Calculate the inner product (dot() function) between the received (RX) signal and each of the original signals. ? Create code that judges the value of each inner product and guesses which signal was transmitted. ? Create code that produces a confidence level when the difference between the largest and second largest inner product is greater than 0.2 (I.e., confidence level can be thought of as a binary indicator that is “high” or “low” confidence when deciding which signal was transmitted) Math Statistics and Probability matlab EE 1201 Share QuestionEmailCopy link Comments (0)

# Current code: %%% N = 120; n = 0:N-1; x0 = [zeros(10,1);…

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