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Optimized Analog Filter Designs With Flat Responses by Semidefinite Programming
Analog filters constitute indispensable components of analog circuits. Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maxima...
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Published in: | IEEE transactions on signal processing 2009-03, Vol.57 (3), p.944-955 |
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container_title | IEEE transactions on signal processing |
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creator | Hoang, N.T. Tuan, H.D. Nguyen, T.Q. Hoang, H.G. |
description | Analog filters constitute indispensable components of analog circuits. Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maximally flat filters have maximally flat passband, so our design maximizes their stopband attenuation. Its particular cases provide flexible alternatives to the classical counterparts. Semidefinite program (SDP) formulations for the posed filter design problems are presented, which are efficiently solved by existing optimization software. Several examples and comparisons are provided to validate the viability of our design. |
doi_str_mv | 10.1109/TSP.2008.2009021 |
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Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maximally flat filters have maximally flat passband, so our design maximizes their stopband attenuation. Its particular cases provide flexible alternatives to the classical counterparts. Semidefinite program (SDP) formulations for the posed filter design problems are presented, which are efficiently solved by existing optimization software. 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Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maximally flat filters have maximally flat passband, so our design maximizes their stopband attenuation. Its particular cases provide flexible alternatives to the classical counterparts. Semidefinite program (SDP) formulations for the posed filter design problems are presented, which are efficiently solved by existing optimization software. 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Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maximally flat filters have maximally flat passband, so our design maximizes their stopband attenuation. Its particular cases provide flexible alternatives to the classical counterparts. Semidefinite program (SDP) formulations for the posed filter design problems are presented, which are efficiently solved by existing optimization software. Several examples and comparisons are provided to validate the viability of our design.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2008.2009021</doi><tpages>12</tpages></addata></record> |
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subjects | Analog circuits Analog filter Applied sciences Attenuation Computer programs convex analysis Design optimization Detection, estimation, filtering, equalization, prediction Digital filters Distortion Exact sciences and technology Finite impulse response filter global optimization IIR filters Information, signal and communications theory Low pass filters Miscellaneous Optimization Passband Polynomials Programming semidefinite programming (SDP) Signal and communications theory Signal design Signal processing Signal, noise Software Telecommunications and information theory |
title | Optimized Analog Filter Designs With Flat Responses by Semidefinite Programming |
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