Digital filter design using LMI based techniques.

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dc.contributor.authorWasim Mohamed Munther Al-Baroudi
dc.date1997
dc.date.accessioned2022-05-18T04:09:22Z
dc.date.available2022-05-18T04:09:22Z
dc.degree.departmentCollege of Computer Science and Engineering
dc.degree.grantorKing Fahad for Petrolem University
dc.description.abstractLinear Matrix Inequalities (LMI) basd digital filter design algorithms are developed and applied to the FIR (one dimensional) optimal filter design problem and FIR (one dimensional) power spectrum estimation problem. The IIR (one dimensional) LMI based digital filter design and IIR (one dimensional) power spectrum estimation problems are formulated as linear objective optimization problems with LMI constraints and solved using an alternative scheme to overcome the non-linearity optimization formulation. In addition, the LMI based formulation of the filter design problem is applied to general approximation/model reduction problems (SISO). The solutions obtained by solving several examples show better results as compared with the traditional design methods.
dc.identifier.other5369
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/842
dc.language.isoen
dc.publisherSaudi Digital Library
dc.thesis.levelMaster
dc.thesis.sourceKing Fahad for Petrolem University
dc.titleDigital filter design using LMI based techniques.
dc.typeThesis

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