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For this part, we will analyze via simulation, the effect of probability of error in a binary symmetric channel (BSC) on the bit error rate

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For this part, we will analyze via simulation, the effect of probability of error in a binary symmetric channel (BSC) on the bit error rate for repetition codes with repetition rates 3 and 5. To this end, write a python script to perform the simulation with following parameters: 1. Generate 106 message bits (random binary values (bool/int)). 2. Generate the corresponding code bits for r = 3,5. This means you will repeat the simulation once for each r value. You may, for example, do this in a loop. 3. Transmit the code bits through a BSC with e Ve E { 10", =-3,-2.99,-2.98, . . . ,-0.3) Similar to the point above, this means that for each r value, you will repeat the simulation for each e value Decode the received codebits form the output of the channel to extract the message bits Serumpare the original mem ge bits to the extracted ones to compute the number of For this part, we will analyze via simulation, the effect of probability of error in a binary symmetric channel (BSC) on the bit error rate for repetition codes with repetition rates 3 and 5. To this end, write a python script to perform the simulation with following parameters: 1. Generate 106 message bits (random binary values (bool/int)). 2. Generate the corresponding code bits for r = 3,5. This means you will repeat the simulation once for each r value. You may, for example, do this in a loop. 3. Transmit the code bits through a BSC with e Ve E { 10", =-3,-2.99,-2.98, . . . ,-0.3) Similar to the point above, this means that for each r value, you will repeat the simulation for each e value Decode the received codebits form the output of the channel to extract the message bits Serumpare the original mem ge bits to the extracted ones to compute the number of

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