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Changed main.py to work with new utility.codes

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This commit is contained in:
Andreas Tsouchlos 2022-11-08 12:57:43 +01:00
parent b4623580af
commit d8258a36f6
1 changed files with 14 additions and 18 deletions
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32
sw/main.py
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@ -5,31 +5,26 @@ import pandas as pd
from timeit import default_timer as timer from timeit import default_timer as timer
from decoders import proximal, naive_soft_decision from decoders import proximal, naive_soft_decision
from utility import noise, simulations, encoders from utility import noise, simulations, encoders, codes
def main(): def main():
# Hamming(7,4) code # used_code = "Hamming_7_4"
# used_code = "Golay_24_12"
# used_code = "BCH_31_16"
# used_code = "BCH_31_21"
used_code = "BCH_63_16"
G = np.array([[1, 1, 1, 0, 0, 0, 0], G = codes.Gs[used_code]
[1, 0, 0, 1, 1, 0, 0], H = codes.get_systematic_H(G)
[0, 1, 0, 1, 0, 1, 0], R = codes.get_systematic_R(G)
[1, 1, 0, 1, 0, 0, 1]])
H = np.array([[1, 0, 1, 0, 1, 0, 1],
[0, 1, 1, 0, 0, 1, 1],
[0, 0, 0, 1, 1, 1, 1]])
R = np.array([[0, 0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0],
[0, 0, 0, 0, 0, 1, 0],
[0, 0, 0, 0, 0, 0, 1]])
# Define encoder and decoders # Define encoder and decoders
encoder = encoders.Encoder(G) encoder = encoders.Encoder(G)
decoders = {"naive_soft_decision": naive_soft_decision.SoftDecisionDecoder(G, H, R), decoders = {
# "naive_soft_decision": naive_soft_decision.SoftDecisionDecoder(G, H, R),
"proximal_0_01": proximal.ProximalDecoder(H, R, K=100, gamma=0.01), "proximal_0_01": proximal.ProximalDecoder(H, R, K=100, gamma=0.01),
"proximal_0_05": proximal.ProximalDecoder(H, R, K=100, gamma=0.05), "proximal_0_05": proximal.ProximalDecoder(H, R, K=100, gamma=0.05),
"proximal_0_15": proximal.ProximalDecoder(H, R, K=100, gamma=0.15), "proximal_0_15": proximal.ProximalDecoder(H, R, K=100, gamma=0.15),
@ -51,7 +46,8 @@ def main():
decoder=decoder, decoder=decoder,
d=d, d=d,
SNRs=SNRs, SNRs=SNRs,
N_max=2000) target_bit_errors=500,
N_max=10000)
data[f"BER_{decoder_name}"] = BERs_sd data[f"BER_{decoder_name}"] = BERs_sd
@ -68,7 +64,7 @@ def main():
for decoder_name in decoders: for decoder_name in decoders:
ax = sns.lineplot(data=data, x="SNR", y=f"BER_{decoder_name}", label=f"{decoder_name}") ax = sns.lineplot(data=data, x="SNR", y=f"BER_{decoder_name}", label=f"{decoder_name}")
ax.set_title("Hamming(7,4) Code") ax.set_title(used_code)
ax.set(yscale="log") ax.set(yscale="log")
ax.set_yticks([10e-5, 10e-4, 10e-3, 10e-2, 10e-1, 10e0]) ax.set_yticks([10e-5, 10e-4, 10e-3, 10e-2, 10e-1, 10e0])
ax.legend() ax.legend()