Near-ideal predictors and causal filters for discrete time signals

Fuente: arXiv
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Main Author: Dokuchaev, Nikolai
Format: Preprint
Published: 2023
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author Dokuchaev, Nikolai
author_facet Dokuchaev, Nikolai
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2302_14255
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Near-ideal predictors and causal filters for discrete time signals
Dokuchaev, Nikolai
Information Theory
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.
title Near-ideal predictors and causal filters for discrete time signals
topic Information Theory
url https://arxiv.org/abs/2302.14255