Simulation of Uncoded BPSK and BER v:s Eb:N 0 plot Generation in MATLAB:Octave

Simulation of Uncoded BPSK and BER v:s Eb:N 0 plot Generation in MATLAB:Octave

[@alithedazzling]

Very clearly explained, thank you Dr. Thangaraj!

[@SeharUjala]

Plot the bit error probability versus Eb/No (dB) for antipodal and unipolar signals. First, use the analytical expressions. To be eligible for any credit, your plots must show the waterfall behavior. Next, simulate both antipodal and unipolar (orthogonal) cases using random bit generation and random noise. The final submission should include: Only ONE figure: showing both the analytical and the simulation curves (i.e, two curves in the same figure) for the antipodal case, as well as both the analytical and the simulation curves for the unipolar (orthogonal) case (i.e., another two curves in the same figure). So, there will be FOUR curves: (a) Analytical (antipodal), (b) Simulation (antipodal), (c) Analytical (unipolar) and (d) Simulation (unipolar). The analytical and the simulation curves should be marked using appropriate legends so that they can be easily identified. Also mark which curves are antipodal and which are unipolar. Use SNR range from 0 dB to 10 dB in steps of 1 dB. Can i get the code for it? Thanks in advance [e-mail]

[@susmithat881]

What rand function should we use to Generate particular two integers from a range of integers

[@sakshamaghoslya]

+1

[@umerashraf992]

sir, we generate noise using randn () function. That is fine. why do we multiply it with sigma?.

[@dugudugu2121]

randn only returns a sample from the “standard normal” distribution. In the example, it is a normal distribution with the variance == sigma^2.

[@arpitjaiswal1273]

This is more correct to use : random('norm', mu, std) can directly give noise, but here author seems to be using an approximation of sorts.

[@susmithat881]

Instead of directly using random noise why we have multiplied it with sigma

[@absolve1884]

thanks sir can I get the code