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Recursive Blind Adaptive Equalization for 16-QAM Applications
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Journal Article
Recursive Blind Adaptive Equalization for 16-QAM Applications
2016
Overview
An innovative blind adaptive identification algorithm based on least-squares type arguments is offered in this project. Devoid of any matrix inversion operation, parameter estimates are recursively updated with each output measurement. It is confirmed that the parameter estimates converge almost surely (a.s.) toward a scalar multiple of the true parameters. The viable utilization of this algorithm to the channel equalization problem is explained in this paper [3].
Publisher
جامعة بنغازي - كلية الآداب والعلوم بالمرج
Subject
