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…g, MIMO, wearable) Implements 5 new analysis features integrated into both active and passive workflows with GUI settings, batch processing, and 45 validation tests: - Link Budget: Friis range estimation, range-vs-azimuth polar, link margin with protocol presets (BLE, WiFi, LoRa, Zigbee, LTE, NB-IoT) - Indoor Propagation: ITU-R P.1238 path loss, P.2040 wall penetration, environment presets (Office, Hospital, Industrial, etc.) - Multipath Fading: Rayleigh/Rician CDF, fade margin for target reliability, Monte-Carlo fading envelope with outage analysis - Enhanced MIMO: MRC/EGC/SC combining gain, capacity-vs-SNR curves, Mean Effective Gain (Taga model with XPR) - Wearable/Medical: Body-worn pattern analysis across positions, dense device SINR modeling, SAR exposure screening, IEEE 802.15.6 WBAN link budget GUI: Scrollable settings dialog with collapsible LabelFrame sections, protocol/environment dropdown presets with auto-populated parameters, cross-feature parameter sharing between Link Budget and Indoor/Fading. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
…lib compat - Bulk processing now reports per-job/per-file outcomes instead of blanket success - Update checker runs in background thread (startup-safe, non-blocking) - Replace deprecated cm.get_cmap with plt.get_cmap for matplotlib compat - Add fixture-based parser tests replacing skipped TODOs - Add batch failure regression integration tests - Add Rician fading test coverage Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- RELEASE_NOTES.md: Add v4.1.5 section (advanced analysis suite) - README.md: Update "New in v4.1" section, test badge (450), MCP tools (25) - AI_STATUS.md: Update version, roadmap with v4.1.5 milestone - CONTRIBUTING.md: Fix stale test counts (227→450) and coverage (22%→26%) - .bumpversion.cfg: Add installer.iss to auto-update on version bump - .gitignore: Add installer_output/ - installer.iss: Update default version to 4.1.5 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Refactored all three 3D plot routines (active, passive, masked) to share a common _setup_3d_axes() helper that provides: - Equal aspect ratio via set_box_aspect([1,1,1]) - Symmetric limits centred on the origin - Box-edge axis labels (X/Y/Z) rendered in the 2D overlay layer so they are never occluded by the surface - Short coloured orientation arrows (X=green, Y=red, Z=blue) on the negative side of each axis, matching the physical DUT marker used in the anechoic chamber - Tighter figure layout (10×8, subplots_adjust) with suptitle and colorbar max-value annotation Also vectorised free_space_path_loss() so it accepts arrays for distance, fixing the indoor propagation heatmap calculation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Summary
_setup_3d_axes()helper with equal aspect ratio, box-edge labels, and short coloured DUT orientation arrows (X=green, Y=red, Z=blue) matching the physical chamber markerTest plan
python -m pytest tests/ -q)🤖 Generated with Claude Code