Fractional Filters: An Optimization Approach

Manuel Duarte Ortigueira; DEE Group Author

doi:10.1007/978-3-642-11628-5_39

Fractional Filters: An Optimization Approach

Manuel Duarte Ortigueira, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

The design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.

Original language	Unknown
Title of host publication	IFIP Advances in Information and Communication Technology
Pages	361-366
Volume	314
DOIs	https://doi.org/10.1007/978-3-642-11628-5_39
Publication status	Published - 1 Jan 2010
Event	First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010 - Costa da Caparica, Portugal Duration: 22 Feb 2010 → 24 Feb 2010

Conference

Conference	First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010
Country/Territory	Portugal
City	Costa da Caparica
Period	22/02/10 → 24/02/10

Access to Document

10.1007/978-3-642-11628-5_39

http://oa.uninova.pt/4755/

Cite this

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title = "Fractional Filters: An Optimization Approach",

abstract = "The design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.",

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AU - DEE Group Author

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N2 - The design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.

AB - The design and optimization of fractional filters is considered in this paper. Some of the classic filter architectures are presented and their performances relatively to an ideal amplitude spectrum evaluated. The fractional filters are designed using the differential evolution optimization algorithm for computing their parameters. To evaluate the performances of all the filters the quadratic error between the computed amplitude is calculated against an ideal (goal) response. The fractional filters have a better behavior, both in the pass and reject-band.

U2 - 10.1007/978-3-642-11628-5_39

DO - 10.1007/978-3-642-11628-5_39

M3 - Conference contribution

SN - 978-3-642-11627-8

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SP - 361

EP - 366

BT - IFIP Advances in Information and Communication Technology

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