Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
University of Strathclyde
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Output 0 of 0 in the submission
Article title
EMD-based filtering (EMDF) of low-frequency noise for speech enhancement
Type
D - Journal article
Title of journal
IEEE Transactions on Audio, Speech and Language Processing
Article number
-
Volume number
20
Issue number
4
First page of article
1158
ISSN of journal
1558-7916
Year of publication
2012
URL
-
Number of additional authors
1
Additional information
This paper presents a rigorous description of a new intelligent Empirical Mode Decomposition (EMD) based filtering process designed for suppressing noise in non-linear environments. This was the first EMD tool that can distinguish between noise and signal at low frequencies. Since publication, the methods have been effectively used with an industry partner as the proposed signal conditioning component in a successful project [TSB, £770k, 2013-15] with the 'bionic' prosthesis company Touch BIONICS Ltd L [CTO, hugh.gill@touchbionics.com] for advanced pattern recognition technology for multi-articulating prosthesis.
Interdisciplinary
-
Cross-referral requested
-
Research group
A - Centre for Excellence in Signal and Image Processing (CeSIP)
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-