v1.0.0 - portfolio release

Highlights

• Added deterministic repeated localization trials, configurable SNR sweeps, summary statistics, CSV export, and selected reproducible figures.
• Added an independently implemented FFT-based GCC-PHAT estimator with geometry-bounded lags and quadratic sub-sample interpolation.
• Added identical-signal comparisons for LMS peak, LMS phase-slope, and GCC-PHAT.
• Expanded regression coverage across microphone counts, arbitrary valid 2D arrays, residual completeness, degenerate geometry, and solver failures.
• Finalized V1.0 architecture, methodology, provenance, limitations, results, citation metadata, and release documentation.

Verification

• Release commit: 04187c1b33463b27d692a176d40611faa4d50b42
• Local MATLAB: 124 passed, 0 failed, 0 incomplete
• MATLAB Code Analyzer: 63 files passed
• GitHub Actions: run 32346700658
• CI artifact: matlab-test-and-coverage with JUnit and Cobertura XML

Scope

This is a focused, reproducible MATLAB signal-processing simulation for one stationary synthetic source in a synchronized, two-dimensional, direct-path model. It is not an AI system, production or real-time localization product, complete room-acoustics model, or evidence of performance on physical microphones or real recordings.

Read the complete changelog, selected V1.0 results, and limitations.

v0.1.0 — LMS localization milestone

V0.1 milestone

This release completes the clean-room reconstruction's first focused MATLAB milestone:

• configurable 2D microphone geometry and deterministic synthetic signals
• direct-path integer and fractional-delay simulation with optional measured-SNR noise
• independently implemented LMS adaptive filtering
• signed TDOA estimation from learned impulse-response peaks and unwrapped phase slopes
• bounded source-coordinate estimation with visible solver diagnostics
• clean and deterministic noisy end-to-end tests
• executable basic example and reproducible selected figures

Verified result

The selected clean four-microphone example reports an actual source of [0.150000, 0.220000] m, estimated source of [0.146064, 0.214196] m, and localization error of 0.007013 m.

Validation

• MATLAB R2026a Update 4
• 98 passed, 0 failed, 0 incomplete
• Code Analyzer: 0 issues across 45 MATLAB files
• GitHub MATLAB CI passed
• Basic example executed from a clean MATLAB process

Scope

This remains a single-source, synthetic, synchronized, direct-path, two-dimensional signal-processing simulation. It is not AI, a real-time system, a complete room-acoustics model, or a production localization product.

See README.md, docs/METHODOLOGY.md, docs/LIMITATIONS.md, docs/PROVENANCE.md, and docs/V0.1_RESULTS.md.