Near-Ideal Predictors and Causal Filters for Discrete-Time Signals

IF 0.5 4区计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS

Problems of Information Transmission Pub Date : 2023-12-23 DOI:10.1134/s0032946023020035

N. G. Dokuchaev

引用次数: 0

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 noncausal transfer functions by causal transfer functions represented by polynomials of the Z-transform of the unit step signal.

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离散时间信号的近似理想预测器和因果滤波器

本文介绍了针对离散时间信号的线性预测器和因果滤波器，这些信号具有一些不同类型的频谱退化。这些预测器和滤波器基于用单位步长信号 Z 变换的多项式表示的因果传递函数对理想非因果传递函数的近似。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Problems of Information Transmission 工程技术-计算机：理论方法

CiteScore

2.00

自引率

25.00%

发文量

审稿时长

>12 weeks

期刊介绍： Problems of Information Transmission is of interest to researcher in all fields concerned with the research and development of communication systems. This quarterly journal features coverage of statistical information theory; coding theory and techniques; noisy channels; error detection and correction; signal detection, extraction, and analysis; analysis of communication networks; optimal processing and routing; the theory of random processes; and bionics.