Predictors for high frequency processes based on rational polynomials approximation of periodic exponentials

Abstract

The paper presents linear integral predictors for continuous time high-frequency signals with a a finite spectrum gap. The predictors are based on approximation of a complex valued periodic exponential (complex sinusoid) by rational polynomials.

References in corpus (2)

• Predictability of band-limited, high-frequency, and mixed processes in the presence of ideal low-pass filters
• Limited memory predictors based on polynomial approximation of periodic exponents

Cited by in corpus (1)

• Near-ideal predictors and causal filters for discrete time signals