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Simulating more parameters for proximal decoding; Changed theme

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This commit is contained in:
Andreas Tsouchlos 2022-11-07 14:09:00 +01:00
parent dcb78a3963
commit 296feaf1fb
1 changed files with 12 additions and 3 deletions
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15
sw/main.py
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@ -21,12 +21,19 @@ def main():
[0, 1, 1, 0, 0, 1, 1], [0, 1, 1, 0, 0, 1, 1],
[0, 0, 0, 1, 1, 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 = channel.Encoder(G) encoder = channel.Encoder(G)
decoders = {"naive_soft_decision": naive_soft_decision.SoftDecisionDecoder(G, H), decoders = {"naive_soft_decision": naive_soft_decision.SoftDecisionDecoder(G, H, R),
# "proximal": proximal.ProximalDecoder(H, 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_15": proximal.ProximalDecoder(H, R, K=100, gamma=0.15),
} }
# Test decoders # Test decoders
@ -34,7 +41,7 @@ def main():
k, n = G.shape k, n = G.shape
d = np.zeros(k) # All-zeros assumption d = np.zeros(k) # All-zeros assumption
SNRs = np.linspace(1, 7, 9) SNRs = np.linspace(1, 8, 9)
data = pd.DataFrame({"SNR": SNRs}) data = pd.DataFrame({"SNR": SNRs})
for decoder_name in decoders: for decoder_name in decoders:
@ -48,6 +55,8 @@ def main():
# Plot results # Plot results
sns.set_theme()
fig, axes = plt.subplots(1, 1) fig, axes = plt.subplots(1, 1)
fig.suptitle("Bit-Error-Rates of various decoders") fig.suptitle("Bit-Error-Rates of various decoders")