Simulate the bit error rate $($BER$)$ of a binary digital pulse amplitude modulation $($PAM$)$ for differentsituations of bit energy versus noise power spectral density $($EbN$0).$ Finally, compare theresults obtained through simulation with respect to the analytical results available for this modulationdigital.To carry out the simulation, the following steps must be followed in MATLAB:a$)$ Generate a vector of M$=1,000,000$ random bits $[0,1,0...0,1,10]$ equally probable using the functionrandi$(),$ and save them in a variable.b$)$ Modulate the bits generated in part a$)$ through a binary PAM digital modulation using the functionpammod$().$c$)$ Generate a vector of bit energy versus noise power spectral density in dB Eb$/$NodB $=[3,2,...,9,10]$d$)$ Add white Gaussian noise to the pulses generated in part b$)$ complying with one of the conditionsof Eb$/$NodB generated in section c$).$ The above using the function wgn$()$e$)$ Carry out the digital demodulation of the noisy pulses generated in part d$)$ using the functionpamdemod$(),$ and save the estimated bits in a new variable.f$)$ Carry out the estimation of the bit error rate for a value of the Eb$/$NodB vector generated in sectionc$).$ The above, through the biterr$()$ function.g$)$ Generate the theoretical bit error rate for binary PAM modulation using the following instructionber$\_$teo $=$ berawgn$($Eb$/$NodB$,\text{'}$psk$\text{'},2,$'nondiff'$).$Finally conclude the project by graphing the results obtained in the simulation on the theoretical results insubsection g$).$ Both graphs must be in a different color and with a different marker to be able to appreciate the similarity.From the results. Below is an example of the graph of the theoretical results generated by theinstruction of subsection g$).$ Use the semilogy$()$ function to compare the results.