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125572

BLIND SOURCE SEPARATION TECHNIQUE FOR LINEAR MIXTURES BASED ON ACCURATE ESTIMATION OF PROBABILITY DENSITY FUNCTION

Article

Last updated: 26 Dec 2024

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Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

This paper presents an accurate nonparametric method for evaluating signal's probability density function (pdf), as well as its entropy. It is based on using Bspline wavelets, as the smoothing filter for the data histogram distribution. Due to the excellent energy concentration feature of Bspline wavelets, this estimation was found to be accurate and robust of probability density function (pdf) estimation that are needed in some linear blind source separation (BSS) designs. The validity of the proposed technique is checked by its ability of recovering linearly blind source BSS, with a simple check to verify exact source recovery when no information is available about the mixing system. Several experiments have been carried out, to verify the ability of the proposed technique to accurately estimating signal's pdf as well as recovering linearly mixed signals and images with a simple independency check to determine whether exact separation is achieved or not.

DOI

10.21608/jesaun.2010.125572

Authors

First Name

M. F.

Last Name

FAHMY

MiddleName

-

Affiliation

Department of Electrical & Electronics Eng., Faculty of Eng., Assiut University, Egypt

Email

fahmy@aun.edu.eg

City

-

Orcid

-

First Name

Usama

Last Name

Sayed Mohammed

MiddleName

-

Affiliation

Department of Electrical & Electronics Eng., Faculty of Eng., Assiut University, Egypt

Email

usama@aun.edu.eg

City

-

Orcid

-

First Name

N. A.

Last Name

BAHRAN

MiddleName

-

Affiliation

Department of Electrical & Electronics Eng., Faculty of Eng., Assiut University, Egypt

Email

-

City

-

Orcid

-

Volume

38

Article Issue

No 6

Related Issue

16878

Issue Date

2010-11-01

Receive Date

2010-07-20

Publish Date

2010-11-01

Page Start

1,507

Page End

1,518

Print ISSN

1687-0530

Online ISSN

2356-8550

Article File

JESAUN_Volume 38_Issue No 6_Pages 1507-1518.pdf

PDF . 930.4kB

Link

https://jesaun.journals.ekb.eg/article_125572.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=125572

Order

8

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

BLIND SOURCE SEPARATION TECHNIQUE FOR LINEAR MIXTURES BASED ON ACCURATE ESTIMATION OF PROBABILITY DENSITY FUNCTION

Details

Type

Article

Created At

23 Jan 2023