edma-semantic-mac/data/floor_validation.csv at 2aa8ee16ea87cdfc39c1d1f1a3c56b05c46e107e

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KiHoLee 358faecc0c v2 design: independent masks + affinity-aware Wiener demultiplexer

Redesign after the independent-mask dominance finding: the affinity
now parameterizes the receiver (closed-form Wiener) instead of the
mask ensemble. New Theorem 1 (spectral closed form), floors
sqrt(1-b^2)/2 vs 1/2, full-cooperation bound with equality at b=1.
GPU (torch) Monte Carlo backend, decision-directed SIC baseline,
TikZ block diagram source, verification suite V1-V11.

2026-08-17 02:12:10 +09:00

2.2 KiB

Raw Blame History

1	d	snr_db	mse_mc	mse_theory	mse_blind
2	256	0.0	0.9958906187265965	0.9957520371754321	0.9961240310077519
3	256	2.5	0.9926509086327597	0.9924951337006896	0.993148778755109
4	256	5.0	0.9869671196373861	0.9868069561728815	0.9879451709874938
5	256	7.5	0.9771456527581006	0.9770064578879146	0.9789579793127183
6	256	10.0	0.9605855179298334	0.9605076750198117	0.9637681159420289
7	256	12.5	0.9337484810109989	0.9337823722702523	0.9390092836053628
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9	256	17.5	0.8360494261292735	0.8363998816883345	0.8473840548704382
10	256	20.0	0.7661668636283875	0.7666566714783413	0.7807017543859648
11	256	22.5	0.691947677239615	0.6925661718278007	0.709267994905624
12	256	25.0	0.6243632968967908	0.6251571720537481	0.6440702380534542
13	256	27.5	0.5709153641061163	0.571972710197798	0.5927077630509127
14	256	30.0	0.5331897043219835	0.53458472828743	0.5567375886524822
15	256	32.5	0.5086536205122679	0.5104122867933932	0.5335732525163734
16	256	35.0	0.4935273743565432	0.4956303135714446	0.5194512459464362
17	256	37.5	0.4844975136532381	0.48689966319840416	0.5111276997838433
18	256	40.0	0.4792009242590312	0.48184935117050987	0.5063191153238548
19	768	0.0	0.9986765012793098	0.9985760128125698	0.9987012987012988
20	768	2.5	0.9976163216681129	0.9974733083167204	0.9976952053744985
21	768	5.0	0.9957307732307438	0.9955242936982399	0.9959160824250755
22	768	7.5	0.9923981843904192	0.992095537514675	0.9927835275542491
23	768	10.0	0.9865629253484912	0.9861129415585025	0.9873096446700508
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25	768	15.0	0.9595662490049409	0.9585462259188507	0.9619573584726929
26	768	17.5	0.9322122252329521	0.9306888249982047	0.9361315623151921
27	768	20.0	0.8907470407123728	0.8885385986762078	0.8966942148760331
28	768	22.5	0.8334967999962878	0.8304680517855016	0.8417416365176289
29	768	25.0	0.7637208092945489	0.759888721537542	0.7741964962231777
30	768	27.5	0.6903787748107578	0.6859650675890866	0.7028866275721191
31	768	30.0	0.6242938905723492	0.6196325851274082	0.638728323699422
32	768	32.5	0.5725413154691661	0.5679130695479454	0.5887951848908111
33	768	35.0	0.5363309035044117	0.5318795970416631	0.554141276684715
34	768	37.5	0.5129687106701781	0.5087260331425658	0.5319605114462806
35	768	40.0	0.498680130948561	0.4946227489687355	0.5184899845916795

2.2 KiB Raw Blame History

2.2 KiB

Raw Blame History