Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Local binary patterns for 1-D signal processing

Chatlani, N. and Soraghan, J.J. (2010) Local binary patterns for 1-D signal processing. In: 18th European Signal Processing Conference (EUSIPCO-2010), 2010-08-23 - 2010-08-27, Aalborg.

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Local Binary Patterns (LBP) have been used in 2-D image processing for applications such as texture segmentation and feature detection. In this paper a new 1-dimensional local binary pattern (LBP) signal processing method is presented. Speech systems such as hearing aids require fast and computationally inexpensive signal processing. The practical use of LBP based speech processing is demonstrated on two signal processing problems: - (i) signal segmentation and (ii) voice activity detection (VAD). Both applications use the underlying features extracted from the 1-D LBP. The proposed VAD algorithm demonstrates the simplicity of 1-D LBP processing with low computational complexity. It is also shown that distinct LBP features are obtained to identify the voiced and the unvoiced components of speech signals

Item type: Conference or Workshop Item (Paper)
ID code: 14919
Notes: AHR - author emailed 25/10/10 awaiting reply DHS
Keywords: local binary patterns, 1-dimensional, signal processing, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 18 Nov 2011 10:14
    Last modified: 17 Jul 2013 15:42
    URI: http://strathprints.strath.ac.uk/id/eprint/14919

    Actions (login required)

    View Item