69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
import numpy as np
|
|
import matplotlib.pyplot as plt
|
|
import seaborn as sns
|
|
import pandas as pd
|
|
import typing
|
|
from pathlib import Path
|
|
import os
|
|
from itertools import chain
|
|
from timeit import default_timer
|
|
|
|
from decoders import proximal, maximum_likelihood
|
|
from utility import simulations, codes, visualization
|
|
|
|
|
|
# TODO: Fix spacing between axes and margins
|
|
def plot_results():
|
|
results_dir = "sim_results"
|
|
|
|
# Read data from files
|
|
|
|
data = []
|
|
for file in os.listdir(results_dir):
|
|
if file.endswith(".csv"):
|
|
df = pd.read_csv(os.path.join(results_dir, file))
|
|
df = df.loc[:, ~df.columns.str.contains('^Unnamed')]
|
|
data.append(df)
|
|
|
|
# Create and show graphs
|
|
|
|
sns.set_theme()
|
|
fig = visualization.show_BER_curves(data)
|
|
plt.show()
|
|
|
|
|
|
def main():
|
|
Path("sim_results").mkdir(parents=True, exist_ok=True)
|
|
|
|
# H = codes.read_alist_file("res/204.3.486.alist")
|
|
# H = codes.read_alist_file("res/204.55.187.alist")
|
|
# H = codes.read_alist_file("res/96.3.965.alist")
|
|
# H = codes.read_alist_file("res/408.33.844.alist")
|
|
# H = codes.read_alist_file("res/PEGReg252x504.alist")
|
|
# H = codes.read_alist_file("res/999.111.3.5543.alist")
|
|
# H = codes.read_alist_file("res/999.111.3.5565.alist")
|
|
H = codes.read_alist_file("res/816.1A4.843.alist")
|
|
k = 272
|
|
n = 816
|
|
|
|
decoders = [
|
|
proximal.ProximalDecoder(H, gamma=0.01),
|
|
proximal.ProximalDecoder(H, gamma=0.05),
|
|
proximal.ProximalDecoder(H, gamma=0.15)
|
|
]
|
|
|
|
SNRs, BERs = simulations.test_decoders(n, k, decoders, target_frame_errors=100, SNRs=np.arange(1, 6, 0.5))
|
|
|
|
df = pd.DataFrame({"SNR": SNRs})
|
|
df["BER_prox_0_01"] = BERs[0]
|
|
df["BER_prox_0_05"] = BERs[1]
|
|
df["BER_prox_0_15"] = BERs[2]
|
|
|
|
df.to_csv(f"sim_results/816.1A4.843.csv")
|
|
|
|
plot_results()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|