Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/13860
Title: A hybrid descent method for optimal sigmoid filter design
Authors: Chan, KY
Nordholm, S
Low, SY
Yong, PC
Yiu, KFC 
Keywords: Hybrid optimization method
Noise suppression
Sigmoid function
Speech enhancement
Various SNR conditions
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE signal processing letters, 2014, v. 21, no. 4, 6728670, p. 478-482 How to cite?
Journal: IEEE signal processing letters 
Abstract: In this letter, a hybrid descent method is used to determine a set of filter parameters for a sigmoid filter which attempts to work under various SNR conditions. It overcomes the limitations of the current sigmoid filters that performs effectively only at a single SNR. Results show that significant improvement in terms of better speech qualities can be achieved by the proposed sigmoid filter when working under various SNR conditions.
URI: http://hdl.handle.net/10397/13860
ISSN: 1070-9908
EISSN: 1558-2361
DOI: 10.1109/LSP.2014.2303498
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