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62591

Power Spectrum Estimation and Rational Modeling of Random Processes

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Last updated: 04 Jan 2025

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Abstract

A new technique is derived to estimate the signal power spectrum density (PSD) and hence its autcorrelation lags. Several simulation results have been given to show the results accuracy. Based on the knowledge of the correlation lags, several approaches to fit the signal or random process to rational models as to approximate the spectrum to these models transfer functions square are considered. The model coefficients results are given and commented as well to be referred with other advanced approaches in the field.

DOI

10.21608/iceeng.1999.62591

Keywords

signal processing, power spectrum estimation, rational models, random processes

Authors

First Name

Nabil

Last Name

Amin

MiddleName

A.

Affiliation

Lecturer, Dpt. of Electronics and Communications, Faculty of Engineering, Cairo University, Giza, Egypt.

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Volume

2

Article Issue

2nd International Conference on Electrical Engineering ICEENG 1999

Related Issue

9420

Issue Date

1999-11-01

Receive Date

2019-11-28

Publish Date

1999-11-01

Page Start

675

Page End

684

Print ISSN

2636-4433

Online ISSN

2636-4441

Article File

ICEENG_Volume 2_Issue 2nd International Conference on Electrical Engineering ICE….pdf

PDF . 1.8MB

Link

https://iceeng.journals.ekb.eg/article_62591.html

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https://iceeng.journals.ekb.eg/service?article_code=62591

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Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

Power Spectrum Estimation and Rational Modeling of Random Processes

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Article

Created At

22 Jan 2023