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Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique

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Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique

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dc.contributor.author Lim, Yong Ching
dc.contributor.author Yu, Ya Jun
dc.contributor.author Saramäki, Tapio
dc.date.accessioned 2009-08-03T04:23:49Z
dc.date.available 2009-08-03T04:23:49Z
dc.date.copyright 2005
dc.date.issued 2009-08-03T04:23:49Z
dc.identifier.citation Lim, Y. C., Yu, Y. J., & Saramäki, T. (2005). Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique. IEEE Transactions on Circuits and Systems-I: Regular Papers, 52(11), 2444-2453.
dc.identifier.issn 1057-7122
dc.identifier.uri http://hdl.handle.net/10220/6006
dc.description.abstract Hilbert transformers and half-band filters are two very important special classes of finite-impulse response filters often used in signal processing applications. Furthermore, there exists a very close relationship between these two special classes of filters in such a way that a half-band filter can be derived from a Hilbert transformer in a straightforward manner and vice versa. It has been shown that these two classes of filters may be synthesized using the frequency-response masking (FRM) technique resulting in very efficient implementation when the filters are very sharp. While filters synthesized using the FRM technique has been characterized for the general low-pass case, Hilbert transformers and half-band filters synthesized using the FRM technique have not been characterized. The characterization of the two classes of filter is a focus of this paper. In this paper, we re-develop the FRM structure for the synthesis of Hilbert transformer from a new perspective. This new approach uses a frequency response correction term produced by masking the frequency response of a sparse coefficient filter, whose frequency response is periodic, to sharpen the bandedge of a low-order Hilbert transformer. Optimum masking levels and coefficient sparseness for the Hilbert transformers are derived; corresponding quantities for the half-band filters are obtained via the close relationship between these two classes of filters.
dc.format.extent 10 p.
dc.language.iso en
dc.relation.ispartofseries IEEE transactions on circuits and systems-I : regular papers
dc.rights IEEE Transactions on Circuits and Systems-I: Regular Papers © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
dc.subject DRNTU::Engineering::Electrical and electronic engineering.
dc.title Optimum masking levels and coefficient sparseness for Hilbert transformers and half-band filters designed using the frequency-response masking technique
dc.type Journal Article
dc.contributor.school School of Electrical and Electronic Engineering
dc.identifier.doi http://dx.doi.org/10.1109/TCSI.2005.853518
dc.description.version Published version

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