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Main configuration d=256, L=64: all data, figures and checks re-run

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Every OMA reference takes the L/16 combining gain so the comparison
stays resource matched, four hardcoded copies of the configuration are
replaced by MAIN_D or the main curve, and stage_J's K-by-L Gaussian
draw becomes its exact scalar Beta equivalent.
This commit is contained in:
KiHoLee
2026-08-18 14:40:48 +09:00
parent fef629a218
commit 8f26bf9bc9
34 changed files with 691 additions and 544 deletions
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code/sse_lib.py
+1 -1
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@@ -35,7 +35,7 @@ DEVICE = torch.device("cuda" if torch.cuda.is_available() else "cpu")
# ----------------------------------------------------------------------
# global configuration
# ----------------------------------------------------------------------
D = 64 # embedding dimension (real)
D = 256 # embedding dimension (real)
U = 4 # users
VU = 16 # unit codebook size
P_MAX = 4 # periods for the main configuration, V = 16^4 = 65536