Open AccessRelative transfer function (RTF) estimation utilising peaks in time‐domain RTF
Author(s) -
Shin M.,
Kim W.,
Han D.K.,
Ko H.
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.0317
Subject(s) - algorithm , time domain , constraint (computer aided design) , function (biology) , domain (mathematical analysis) , transfer function , transfer (computing) , computer science , mathematics , engineering , computer vision , mathematical analysis , geometry , evolutionary biology , electrical engineering , biology , parallel computing
An effective algorithm for a more accurate estimation of relative transfer function (RTF) to improve the directional‐blind source separation‐based 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.