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An improved method for weighted least squares IIR filter design
| dc.creator | Davila-Pazmino, Javier | |
| dc.date.accessioned | 2012-06-07T22:55:16Z | |
| dc.date.available | 2012-06-07T22:55:16Z | |
| dc.date.created | 1999 | |
| dc.date.issued | 1999 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-D385 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 50). | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | Recently, a new method for IIR weighted least squares filter design has been proposed. In this method, the problem of approximating a desired frequency response using a rational function is solved using an iterative approach. After studying and implementing the proposed design method, it was realized that some basic changes could improve the performance of the algorithm. Besides, it was found out that this algorithm converges very slowly when the filter order increases or, even worse, it does not work at all. In this thesis, those modifications will be developed in order to get an efficient implementation of the basic algorithm. Furthermore, a simple idea that solves all the problems that arise when the filter order increases will be introduced. This modification is also expected to make the algorithm converge very fast. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | electrical engineering. | en |
| dc.subject | Major electrical engineering. | en |
| dc.title | An improved method for weighted least squares IIR filter design | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | electrical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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