| | Step 1: input parameters |
| | n, k, L, number of symbols, M, N, S, bits per symbol |
| | Step 2: generation of trellis code polynomial |
| | Calculate the number of constellation points using the number of bits per symbol |
| | Store the value of the symbol that needs to be transmitted in N |
| | Define the generator polynomial |
| | Initialize the Codeword, Next state, and previous state matrices |
| | Apply the random interleaver for removing the burst errors |
| | Step 3: apply modulation of the Type-64 QAM |
| | Step 4: defining the simulation parameters |
| | Total energy of the codeword, |
| | Calculate the number of information bits = number of symbols |
| | Calculate the number of coded bits = number of symbols |
| | While () |
| | Step 5: initialize the counters to store |
| | Number of errors = error counts |
| | Number of frame = frame count |
| | Number of bits = bit count |
| | Step 6: calculate SNR |
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| | While (error counts < 1000 and frame count ≤ 100) |
| | Step 7: compute energy per bit |
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| | Step 8: compute noise variance |
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| | Step 9: apply the input bits |
| | Input bits = round (rand (1, )) |
| | Step 10: convert number of bits to symbols |
| | Symbols = bits to the symbol (n, number of symbols, input bits) |
| | Step 11: apply convolution encoding |
| | Generate the transmitted signal |
| | Step 12: calculate the received signal |
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| | Step 13: apply the demodulation |
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| | Step 14: apply decoding |
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| | End |
| | Step 15: calculate bit error rate |
| | End |
