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monad-knowledge Wi-Fi sensing lab · FIIT STU
Ledger · one capture session

monad04_explore-lib-ref-day-pm_20261021-101817

In plain words Filter the recorded dataset by date, channel, device or capture profile. Compare recorded and decoded session-hours, then open the captures behind a total.

monad04, profile explore-lib-ref-day-pm, , 19 segments. Claimed by EXP-F2 (primary, matched by session).

Counts and yields

Records11,496,148
Frames the radio saw—
Empty records—
useful_yield—
capture_yield—
Empty share—
Mean rate338.0 Hz
Bytes—
Band / channel / width5 GHz / 48 / HT20

Quote useful_yield: (records − empty records) ÷ frames the radio saw. capture_yield counts an all-zero record as delivered. A low capture_yield on 2.4 GHz is DSSS/CCK traffic that yields no channel estimate, not a quiet channel. Both are derived ratios from two independent counters and exceed 1.0 on some sessions; the counts are exact, the ratios are not.

State

Sealedyes
Decodeddecoded (19 of 19 segments), reduction schema 7
Projected noteyes
Integrity flagsroot-recounted root-from-segments
Run idexplore-library-ref-day-pm-2026-10-21-02
csid0.4.1

Record classes

What the channel carried, by tone count and modulation. A bandwidth is printed only when every frame of the class named the same one.
ClassRecordsShareMHz
52t-legacy_ofdm11,496,140100.0 %20
56t-vht80.0 %20

Other sessions on monad04 that day · This session as JSON