Automatic LMS equalizer algorithms with fast rate of convergence
dc.contributor | Graduate Program in Electrical and Electronic Engineering. | |
dc.contributor.advisor | Istefanopulos, Yorgo. | |
dc.contributor.author | Hekim, Nazan. | |
dc.date.accessioned | 2023-03-16T10:19:41Z | |
dc.date.available | 2023-03-16T10:19:41Z | |
dc.date.issued | 1982. | |
dc.description.abstract | In high speed voiceband modems, as in many other data transmission systems, linear distortion and additive noise are important degrading factors. The tapped-delay-line equalizers designed to minimize the mean-square-error cost function are commonly used to compensate these undesired effects. Among the several algorithms which minimizes the mean-square-error cost function stochastic gradient algorithm is the most popular because of its simplicity in implementation. However, for highly distorted channels stochastic gradient algorithm converges slowly and, therefore, a long training period which causes a fall in the overall performance of the system is required. Instead, more complicated algorithms with faster rate of convergence have been developed in the last years: Kalman/Godard, Fast Kalman and lattice algorithms. In this thesis, the rate of convergence of stochastic gradient, Kalman/Godard and Fast Kalman algorithms are analyzed and their computational, complexities are examined. The analysis is extended to the complex domain in order to cover equalization of quadrature-amplitude-modulated signals. Furthermore, a computer program package which simulates several telephone channels, a quadrature-amplitude-modulatiqn. system and the equalization algorithms is written. Them, the performance of the different equalizatIon algorithms over a wide range of channels are compared. | |
dc.format.extent | 30 cm. | |
dc.format.pages | 135 leaves ; | |
dc.identifier.other | EE 1982 H36 | |
dc.identifier.uri | https://digitalarchive.library.bogazici.edu.tr/handle/123456789/12940 | |
dc.publisher | Thesis (M.S.) - Bogazici University. Institute of School of Engineering, 1982. | |
dc.relation | Includes appendices. | |
dc.relation | Includes appendices. | |
dc.subject.lcsh | Equalizers (Electronics) | |
dc.subject.lcsh | Data transmission systems. | |
dc.title | Automatic LMS equalizer algorithms with fast rate of convergence |
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