Accuracy evaluation of fixed-point LMS algorithm

Romuald Rocher 1 Daniel Menard 1 Olivier Sentieys 1 Pascal Scalart 1
1 R2D2 - Reconfigurable and Retargetable Digital Devices
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, INRIA Rennes, ENSSAT - École Nationale Supérieure des Sciences Appliquées et de Technologie
Abstract : The implementation of adaptive filters with fixed-point arithmetic requires the computation quality to be evaluated. The accuracy may be determined by calculating the global quantization noise power in the system output. A new model for evaluating analytically the global noise power in the LMS algorithm and in the NLMS algorithm is developed. Two existing models are presented, then the model is detailed and compared with the ones before. The accuracy of our model is analyzed by simulation.
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https://hal.inria.fr/inria-00482940
Contributor : Daniel Menard <>
Submitted on : Wednesday, May 12, 2010 - 7:31:30 AM
Last modification on : Friday, November 16, 2018 - 1:24:20 AM

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Romuald Rocher, Daniel Menard, Olivier Sentieys, Pascal Scalart. Accuracy evaluation of fixed-point LMS algorithm. Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on, May 2004, Montreal, Canada. ⟨10.1109/ICASSP.2004.1327091⟩. ⟨inria-00482940⟩

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