Relative transfer function (RTF) estimation utilising peaks in time-domain RTF

M. Shin, W. Kim, D. K. Han, Hanseok Ko

Research output: Contribution to journalArticle

Abstract

An effective algorithm for a more accurate estimation of relative transfer function (RTF) to improve the directional-blind source separationbased RTF estimation is presented. The peaks in time-domain RTF (PTDR) as a feature of time-domain RTF to improve the conventional algorithm are utilised. The PTDRs contain important characteristics of RTF; however, they are smoothed due to the geometric constraint in the conventional algorithm. In the proposed algorithm, the PTDRs are recovered by employing the semi-non-negative matrix factorisation algorithm to effectively find the PTDRs from other peaks. A series of experiments using interfere and various noises demonstrates effectiveness of the proposed RTF estimation algorithm utilising the PTDR.

Original languageEnglish
Pages (from-to)1264-1266
Number of pages3
JournalElectronics Letters
Volume52
Issue number14
DOIs
Publication statusPublished - 2016 Jul 7

Fingerprint

Transfer functions
Factorization
Experiments

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Relative transfer function (RTF) estimation utilising peaks in time-domain RTF. / Shin, M.; Kim, W.; Han, D. K.; Ko, Hanseok.

In: Electronics Letters, Vol. 52, No. 14, 07.07.2016, p. 1264-1266.

Research output: Contribution to journalArticle

Shin, M. ; Kim, W. ; Han, D. K. ; Ko, Hanseok. / Relative transfer function (RTF) estimation utilising peaks in time-domain RTF. In: Electronics Letters. 2016 ; Vol. 52, No. 14. pp. 1264-1266.
@article{c7bea0587ee744ffa32c2b1639fb7690,
title = "Relative transfer function (RTF) estimation utilising peaks in time-domain RTF",
abstract = "An effective algorithm for a more accurate estimation of relative transfer function (RTF) to improve the directional-blind source separationbased RTF estimation is presented. The peaks in time-domain RTF (PTDR) as a feature of time-domain RTF to improve the conventional algorithm are utilised. The PTDRs contain important characteristics of RTF; however, they are smoothed due to the geometric constraint in the conventional algorithm. In the proposed algorithm, the PTDRs are recovered by employing the semi-non-negative matrix factorisation algorithm to effectively find the PTDRs from other peaks. A series of experiments using interfere and various noises demonstrates effectiveness of the proposed RTF estimation algorithm utilising the PTDR.",
author = "M. Shin and W. Kim and Han, {D. K.} and Hanseok Ko",
year = "2016",
month = "7",
day = "7",
doi = "10.1049/el.2016.0317",
language = "English",
volume = "52",
pages = "1264--1266",
journal = "Electronics Letters",
issn = "0013-5194",
publisher = "Institution of Engineering and Technology",
number = "14",

}

TY - JOUR

T1 - Relative transfer function (RTF) estimation utilising peaks in time-domain RTF

AU - Shin, M.

AU - Kim, W.

AU - Han, D. K.

AU - Ko, Hanseok

PY - 2016/7/7

Y1 - 2016/7/7

N2 - An effective algorithm for a more accurate estimation of relative transfer function (RTF) to improve the directional-blind source separationbased RTF estimation is presented. The peaks in time-domain RTF (PTDR) as a feature of time-domain RTF to improve the conventional algorithm are utilised. The PTDRs contain important characteristics of RTF; however, they are smoothed due to the geometric constraint in the conventional algorithm. In the proposed algorithm, the PTDRs are recovered by employing the semi-non-negative matrix factorisation algorithm to effectively find the PTDRs from other peaks. A series of experiments using interfere and various noises demonstrates effectiveness of the proposed RTF estimation algorithm utilising the PTDR.

AB - An effective algorithm for a more accurate estimation of relative transfer function (RTF) to improve the directional-blind source separationbased RTF estimation is presented. The peaks in time-domain RTF (PTDR) as a feature of time-domain RTF to improve the conventional algorithm are utilised. The PTDRs contain important characteristics of RTF; however, they are smoothed due to the geometric constraint in the conventional algorithm. In the proposed algorithm, the PTDRs are recovered by employing the semi-non-negative matrix factorisation algorithm to effectively find the PTDRs from other peaks. A series of experiments using interfere and various noises demonstrates effectiveness of the proposed RTF estimation algorithm utilising the PTDR.

UR - http://www.scopus.com/inward/record.url?scp=84976609651&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84976609651&partnerID=8YFLogxK

U2 - 10.1049/el.2016.0317

DO - 10.1049/el.2016.0317

M3 - Article

AN - SCOPUS:84976609651

VL - 52

SP - 1264

EP - 1266

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 14

ER -