Autoencoder-Based Parameter Estimation for Superposed Multi-Component Damped Sinusoidal Signals

ArXi:2604.03985v1 Announce Type: new Damped sinusoidal oscillations are widely observed in many physical systems, and their analysis provides access to underlying physical properties. However, parameter estimation becomes difficult when the signal decays rapidly, multiple components are superposed, and observational noise is present. In this study, we develop an autoencoder-based method that uses the latent space to estimate the frequency, phase, decay time, and amplitude of each component in noisy multi-component damped sinusoidal signals.