The physics of faint signals in noisy environments

Separating a whisper of structure-borne sound from ambient noise is genuinely hard. The signal processing that makes it possible is where physics meets careful engineering.

Faint signals, loud world

Useful acoustic events are often orders of magnitude quieter than the surrounding environment. Recovering them demands models of how sound propagates and how noise behaves statistically.

We combine classical signal processing with learned denoising so the system exploits known physics while adapting to the messy reality of each deployment site.

Robustness as a first principle

An algorithm that works only in a quiet lab is a demo, not a product. Designing for noise from the start is what lets acoustic sensing leave the bench.