Accuracy evaluation of fixed-point based LMS algorithm

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...

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Bibliographic Details
Published inDigital signal processing Vol. 20; no. 3; pp. 640 - 652
Main Authors Rocher, Romuald, Menard, Daniel, Sentieys, Olivier, Scalart, Pascal
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.05.2010
Elsevier
Subjects
Accuracy
Adaptive filters
Algorithms
Arithmetic
Computation
Computer Science
Computer simulation
Engineering Sciences
Fixed-point arithmetic
Mathematical analysis
Noise
Quantization noise
Signal and Image Processing
Quantization noise
Adaptive filters
Fixed-point arithmetic
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1051-2004
1095-4333
DOI:10.1016/j.dsp.2009.10.007