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The error probability models using Eb/No ratio, assume:
1. The noise is additive
2. The noise is Gaussian.
In that case makes sense the bit energy (Eb)
You should generate a normal distributed pattern of random delays and measure the bit error rate (ber) in a sufficiently long frame of bits .
Your x axis should be the delay and the x axis the ber.
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so if i delay my edges on a gaussian distribution bases, i can model my BER using BER vs Eb/No?
Ok thats great. Lets assume I made my delays on gaussian basis. why ur saying my x-axis is the delay? isnt it supposed to be Eb/No? where is Eb in that case?
thank you u helped me imagine better..
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