Design of IIR filters by optimization techniques
In this report, mainly two Minimax design techniques of Digital IIR Filters namely Sequential Constrained Least-Squares Method combined with Steiglitz-McBride (SCLS SM) and Sequential Minimization Procedure for Minimax Design of IIR Filter Based on Second-Order Factor Updates (SMSOF) are presented t...
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sg-ntu-dr.10356-460382023-07-07T16:15:36Z Design of IIR filters by optimization techniques Wang, Zhe. Lin Zhiping School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits In this report, mainly two Minimax design techniques of Digital IIR Filters namely Sequential Constrained Least-Squares Method combined with Steiglitz-McBride (SCLS SM) and Sequential Minimization Procedure for Minimax Design of IIR Filter Based on Second-Order Factor Updates (SMSOF) are presented to solve the two optimization design issues on IIR filters, which refers to converting the non-convex optimization problem into the convex problem and the stability issue of IIR filters. Through simulation examples and comparisons between SCLS-SM and SM-based Direct Minimization Methods (Direct-SM), it was found that SCLS-SM has a higher possibility to obtain better results in our three examples’ case (High-Pass, Low-Pass and Band-Stop Filters), since SCLS-SM turning the non-convex optimization problem into a convex problem through combining Steiglitz-McBride (SM) Strategy. Two Positive Realness stability conditions were proposed to the SCLS-SM to ensure the stability of the IIR Filter. All-Pass Filter Example was also presented; however, SCLS-SM does not work better since it got an undesired maximum pole radius. Moreover, for SMSOF, a sufficient and necessary stability condition, i.e. stability triangle is taking into consideration: the IIR filter denominator in this method present in the form of a series of cascaded second-order factors, combining with Levy-Sanathanan-Koerner (L-SK), the minimax problem can be transformed into a semi-infinite-positive-definite QP problem. At each time, only the coefficients of the numerator and one second-order factor are optimized. Four simulation examples are presented showing that SMSOF generally does a good job even in the All-Pass Filters’ case, initialization scheme for SMSOF were also studied under different fed in conditions. Last but not least, a special IIR filter, namely Half-Band Filter (HBF) was designed through SOCP based All-Pass Filters’ Method, SCLS-SM, Direct SM and SMSOF Methods. By comparing among them, All Pass-Based HBF got overall best results. Bachelor of Engineering 2011-06-27T09:18:33Z 2011-06-27T09:18:33Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/46038 en Nanyang Technological University 76 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Wang, Zhe. Design of IIR filters by optimization techniques |
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In this report, mainly two Minimax design techniques of Digital IIR Filters namely Sequential Constrained Least-Squares Method combined with Steiglitz-McBride (SCLS SM) and Sequential Minimization Procedure for Minimax Design of IIR Filter Based on Second-Order Factor Updates (SMSOF) are presented to solve the two optimization design issues on IIR filters, which refers to converting the non-convex optimization problem into the convex problem and the stability issue of IIR filters. Through simulation examples and comparisons between SCLS-SM and SM-based Direct Minimization Methods (Direct-SM), it was found that SCLS-SM has a higher possibility to obtain better results in our three examples’ case (High-Pass, Low-Pass and Band-Stop Filters), since SCLS-SM turning the non-convex optimization problem into a convex problem through combining Steiglitz-McBride (SM) Strategy. Two Positive Realness stability conditions were proposed to the SCLS-SM to ensure the stability of the IIR Filter. All-Pass Filter Example was also presented; however, SCLS-SM does not work better since it got an undesired maximum pole radius. Moreover, for SMSOF, a sufficient and necessary stability condition, i.e. stability triangle is taking into consideration: the IIR filter denominator in this method present in the form of a series of cascaded second-order factors, combining with Levy-Sanathanan-Koerner (L-SK), the minimax problem can be transformed into a semi-infinite-positive-definite QP problem. At each time, only the coefficients of the numerator and one second-order factor are optimized. Four simulation examples are presented showing that SMSOF generally does a good job even in the All-Pass Filters’ case, initialization scheme for SMSOF were also studied under different fed in conditions. Last but not least, a special IIR filter, namely Half-Band Filter (HBF) was designed through SOCP based All-Pass Filters’ Method, SCLS-SM, Direct SM and SMSOF Methods. By comparing among them, All Pass-Based HBF got overall best results. |
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Lin Zhiping |
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Lin Zhiping Wang, Zhe. |
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Final Year Project |
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Wang, Zhe. |
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Wang, Zhe. |
title |
Design of IIR filters by optimization techniques |
title_short |
Design of IIR filters by optimization techniques |
title_full |
Design of IIR filters by optimization techniques |
title_fullStr |
Design of IIR filters by optimization techniques |
title_full_unstemmed |
Design of IIR filters by optimization techniques |
title_sort |
design of iir filters by optimization techniques |
publishDate |
2011 |
url |
http://hdl.handle.net/10356/46038 |
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1772828694951231488 |