interferencefitted
Interferencefitted is a term used in signal processing and related disciplines to describe a modeling approach that explicitly accounts for interference by fitting its components to data. Instead of treating interference as random noise, interferencefitted aims to separate and quantify interfering signals within the observed measurement, allowing for improved estimation of the target signal.
Etymology: A blend of interference and fitted, implying that interference patterns are embedded in the model
- Parametric interference models: interference is modeled with a set of basis functions or parametric forms (sinusoids,
- Blind interference fitting: no prior knowledge about the interference is assumed; the fitting procedure discovers components
- Regularization and model selection: to avoid overfitting, use information criteria, sparsity, or cross-validation.
- Wireless communications: modeling multi-user or multipath interference to improve detection and equalization.
- Audio and acoustics: fitting room reverberation and tonal interference to enhance source separation.
- Experimental physics and optics: fitting interference fringes to extract phase or wavelength information.
- Can improve accuracy when interference is structured and modelable.
- Risks include overfitting, model misspecification, and increased computation.
See also: Interference cancellation, signal modeling, regression analysis, blind source separation.