Near-ideal predictors and causal filters for discrete time signals
Information Theory
2024-05-29 v2 math.IT
Abstract
The paper presents linear predictors and causal filters for discrete time signals featuring some different kinds of spectrum degeneracy. These predictors and filters are based on approximation of ideal non-causal transfer functions by causal transfer functions represented by polynomials of Z-transform of the unit step signal.
Cite
@article{arxiv.2302.14255,
title = {Near-ideal predictors and causal filters for discrete time signals},
author = {Nikolai Dokuchaev},
journal= {arXiv preprint arXiv:2302.14255},
year = {2024}
}