Agents completed three of seven ADR-017 integration points: 1. subcarrier_selection.rs — ruvector-mincut: mincut_subcarrier_partition partitions subcarriers into (sensitive, insensitive) groups using DynamicMinCut. O(n^1.5 log n) amortized vs O(n log n) static sort. Includes test: mincut_partition_separates_high_low. 2. spectrogram.rs — ruvector-attn-mincut: gate_spectrogram applies self-attention (Q=K=V) over STFT time frames to suppress noise and multipath interference frames. Configurable lambda gating strength. Includes tests: preserves shape, finite values. 3. bvp.rs — ruvector-attention stub added (in progress by agent). 4. Cargo.toml — added ruvector-mincut, ruvector-attn-mincut, ruvector-temporal-tensor, ruvector-solver, ruvector-attention as workspace deps in wifi-densepose-signal crate. Cargo.lock updated for new dependencies. Remaining ADR-017 integrations (fresnel.rs, MAT crate) still in progress via background agents. https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
39 lines
943 B
TOML
39 lines
943 B
TOML
[package]
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name = "wifi-densepose-signal"
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version.workspace = true
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edition.workspace = true
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description = "WiFi CSI signal processing for DensePose estimation"
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license.workspace = true
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[dependencies]
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# Core utilities
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thiserror.workspace = true
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serde = { workspace = true }
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serde_json.workspace = true
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chrono = { version = "0.4", features = ["serde"] }
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# Signal processing
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ndarray = { workspace = true }
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rustfft.workspace = true
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num-complex.workspace = true
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num-traits.workspace = true
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# Graph algorithms
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ruvector-mincut = { workspace = true }
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ruvector-attn-mincut = { workspace = true }
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# Attention and solver integrations (ADR-017)
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ruvector-attention = { workspace = true }
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ruvector-solver = { workspace = true }
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# Internal
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wifi-densepose-core = { path = "../wifi-densepose-core" }
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[dev-dependencies]
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criterion = { version = "0.5", features = ["html_reports"] }
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proptest.workspace = true
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[[bench]]
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name = "signal_bench"
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harness = false
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