Variable fractional delay filter design with discrete coefficients

This paper investigates the optimal design of variable fractional delay (VFD) filter with discrete coefficients as a means of achieving low complexity and efficient hardware implementation. The filter coefficients are expressed as the sum of signed power-of-two (SPT) terms with a restriction on the...

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Main Authors: Dam, Hai Huyen Heidi, Teo, Kok Lay
Format: Journal Article
Published: American Institute of Mathematical Sciences (A I M S Press) 2016
Online Access:http://hdl.handle.net/20.500.11937/6749
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author Dam, Hai Huyen Heidi
Teo, Kok Lay
author_facet Dam, Hai Huyen Heidi
Teo, Kok Lay
author_sort Dam, Hai Huyen Heidi
building Curtin Institutional Repository
collection Online Access
description This paper investigates the optimal design of variable fractional delay (VFD) filter with discrete coefficients as a means of achieving low complexity and efficient hardware implementation. The filter coefficients are expressed as the sum of signed power-of-two (SPT) terms with a restriction on the total number of power-of-two terms. An optimization problem with least squares criterion is formulated as a mixed-integer programming problem. An optimal scaling factor quantization scheme is applied to the problem resulting in an optimal scaling factor quantized solution. This solution is then improved further by applying a discrete filled function, that has been extended for a mixed integer optimization problem. To apply the discrete filled function method, it requires multiple calculations of the objective function around the neighborhood of a searched point. Thus, an updating scheme is developed to efficiently calculate the objective function in a neighborhood of a point. Design examples demonstrate the effectiveness of the proposed optimization approach.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T06:13:03Z
publishDate 2016
publisher American Institute of Mathematical Sciences (A I M S Press)
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spelling curtin-20.500.11937-67492017-09-13T14:34:28Z Variable fractional delay filter design with discrete coefficients Dam, Hai Huyen Heidi Teo, Kok Lay This paper investigates the optimal design of variable fractional delay (VFD) filter with discrete coefficients as a means of achieving low complexity and efficient hardware implementation. The filter coefficients are expressed as the sum of signed power-of-two (SPT) terms with a restriction on the total number of power-of-two terms. An optimization problem with least squares criterion is formulated as a mixed-integer programming problem. An optimal scaling factor quantization scheme is applied to the problem resulting in an optimal scaling factor quantized solution. This solution is then improved further by applying a discrete filled function, that has been extended for a mixed integer optimization problem. To apply the discrete filled function method, it requires multiple calculations of the objective function around the neighborhood of a searched point. Thus, an updating scheme is developed to efficiently calculate the objective function in a neighborhood of a point. Design examples demonstrate the effectiveness of the proposed optimization approach. 2016 Journal Article http://hdl.handle.net/20.500.11937/6749 10.3934/jimo.2016.12.819 American Institute of Mathematical Sciences (A I M S Press) unknown
spellingShingle Dam, Hai Huyen Heidi
Teo, Kok Lay
Variable fractional delay filter design with discrete coefficients
title Variable fractional delay filter design with discrete coefficients
title_full Variable fractional delay filter design with discrete coefficients
title_fullStr Variable fractional delay filter design with discrete coefficients
title_full_unstemmed Variable fractional delay filter design with discrete coefficients
title_short Variable fractional delay filter design with discrete coefficients
title_sort variable fractional delay filter design with discrete coefficients
url http://hdl.handle.net/20.500.11937/6749