ACCURACY EVALUATION OF FIXED-POINT BASED LMS ALGORITHM

Abstract : The implementation of adaptive filters with fixed-point arithmetic requires computation quality evaluation. The accuracy may be determined by computing the global quantization noise power at the system output. In this paper, a new model for evaluating analytically the global noise power in LMS-based algorithms is presented. Thus, the model is developed for LMS and NLMS algorithms. The accuracy of our model is analyzed by simulations.
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Article dans une revue
Digital Signal Processing, Elsevier, 2010
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https://hal.inria.fr/inria-00450935
Contributeur : Romuald Rocher <>
Soumis le : mercredi 27 janvier 2010 - 16:40:55
Dernière modification le : mercredi 16 mai 2018 - 11:23:26

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  • HAL Id : inria-00450935, version 1

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Romuald Rocher, Daniel Ménard, Olivier Sentieys, Pascal Scalart. ACCURACY EVALUATION OF FIXED-POINT BASED LMS ALGORITHM. Digital Signal Processing, Elsevier, 2010. 〈inria-00450935〉

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