Matlab Challenge Who is the best

[ninaricci]

Dear all Math students :
here is a challenging program needed to be run using matlab
well i am presenting part of the solution and looking for the support from all of to reach the rest of the result >>>>>>cooperation is being seeked:





generate binary data b_k using randint.
2. define the sampling time, and the data rate. For example, data rate can be R=10kbps, T=1/R, and sampling time Ts=T/40;
3. according to the above define your pulse shape (wave form of the different line codes).
4. obtain the x(t)=\sum_{k=-100}^{100} d_k p(t-kT)
d_k should be correctly mapped from the b_ks generated above.
5. plot the resulting x(t) for the different line codes.
6. obtain the autocorrelation function of x(t) (you may need to average over many realization (10-50 realizations should be enough to get smooth curve).
7. obtain the power spectral density by performing FFT of the autocorrelation function.
8. plot the power spectral density.


solution 1:
function f1=unipolar_nrz(b,R,Ns)

b=randint(1,100);
R=10000; %data rate: 10kbps
Tb=1/R; %bit duration
Nb=length(b);
Ts=Tb/4000;
Fs=1/Ts;
Ns=100; %40 samples/bit
d=b;
pulse=ones(1,Ns);
t=0:Ts:((Ns*Nb)*Ts)-Ts;

x=kron(d,pulse); %Kronecker tensor product
%y1 = wgn(100,1,0);
plot(t,x)
%y= X+ 0.00001*y1;
D= pwelch(x,33,32,[],Fs,'twosided');
hold
%D2=D+randn;
plot(fftshift(D))

end



solution 2:
>>b = rand(100,1);
>>R=10000;
>>Tb=1/R;
>>Ts=Tb/40;
>>Nb=length(b);
>>Ns=40;
>>pulse =[ones(1,Ns/2), -ones(1,Ns/2)];
>>t=0:Ts:((Ns*Nb).*Ts)-Ts;
>>f=0:0.05*Rb:2*Rb;
>>x=f*Tb;
>>d=b;
>>x=kron(d,pulse);




hurry up...who is the best MATLAB program user who can come with a solution

 

[Integral]

Unfortunately it is against the policy of this site to DO YOUR homework. We will hint and help but you have to do your own work.

 

[tacman]

?

It is difficult to determine who the best MATLAB program user is as everyone has their own strengths and areas of expertise. However, the key to solving this challenge is to have a strong understanding of signal processing and the different line codes, as well as proficiency in using MATLAB functions and tools. With cooperation and collaboration, we can all work together to come up with a solution and learn from each other's approaches. Let's use this challenge as an opportunity to improve our skills and work together as a team.