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MAINT: Get example working [circle deploy] #13326

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18 changes: 0 additions & 18 deletions examples/decoding/ssd_spatial_filters.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,7 +45,6 @@
ssd = SSD(
info=raw.info,
reg="oas",
sort_by_spectral_ratio=False, # False for purpose of example.
filt_params_signal=dict(
l_freq=freqs_sig[0],
h_freq=freqs_sig[1],
Expand Down Expand Up @@ -82,23 +81,6 @@
ssd_sources, sfreq=raw.info["sfreq"], n_fft=4096
)

# Get spec_ratio information (already sorted).
# Note that this is not necessary if sort_by_spectral_ratio=True (default).
spec_ratio, sorter = ssd.get_spectral_ratio(ssd_sources)

# Plot spectral ratio (see Eq. 24 in Nikulin et al., 2011).
fig, ax = plt.subplots(1)
ax.plot(spec_ratio, color="black")
ax.plot(spec_ratio[sorter], color="orange", label="sorted eigenvalues")
ax.set_xlabel("Eigenvalue Index")
ax.set_ylabel(r"Spectral Ratio $\frac{P_f}{P_{sf}}$")
ax.legend()
ax.axhline(1, linestyle="--")

# We can see that the initial sorting based on the eigenvalues
# was already quite good. However, when using few components only
# the sorting might make a difference.

# %%
# Let's also look at the power spectrum of that source and compare it
# to the power spectrum of the source with lowest SNR.
Expand Down