Semi-classical signal analysis
Taous-Meriem Laleg-Kirati (INRIA Bordeaux - Sud-Ouest), Emmanuelle, Cr\'epeau (LMA-Versailles), Michel Sorine (INRIA Rocquencourt)

TL;DR
This paper presents SCSA, a novel semi-classical signal analysis method that interprets signals as Schrödinger potentials and uses spectral properties for analysis, demonstrated on blood pressure waveforms.
Contribution
The paper introduces SCSA, a new semi-classical approach for signal analysis based on spectral analysis of Schrödinger operators, with initial numerical results.
Findings
Effective analysis of arterial blood pressure waveforms
Spectral properties provide insightful signal features
First results show promise for biomedical applications
Abstract
This study introduces a new signal analysis method called SCSA, based on a semi-classical approach. The main idea in the SCSA is to interpret a pulse-shaped signal as a potential of a Schr\"odinger operator and then to use the discrete spectrum of this operator for the analysis of the signal. We present some numerical examples and the first results obtained with this method on the analysis of arterial blood pressure waveforms.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum optics and atomic interactions · Spectral Theory in Mathematical Physics · Electron Spin Resonance Studies
