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Abstract
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| Traditional approaches for fixed-point characterization are based on long simulations or additive noise models that do not show the non-linear behavior of the quantization operations in reasonable time. In this paper, a novel interval-based approach that provides both tighter and faster results than the existing approaches is presented. It is based on a non-linear adaptation of the quantization operations of Affine Arithmetic. The results obtained with this method are compared to other published interval-based approaches, and the problem of interval oversizing is discussed in detail. Simulations show (i) that propagation techniques are not well suited to characterize quantized linear systems with feedback loops, (ii) that Affine Arithmetic provides oversized bounds in this type of systems, and (iii) that the proposed adaptation does not provide guaranteed bounds as in traditional interval-based computations, but it provides tighter estimates of the evolution in time of the ranges of the fixed-point signals and better runtime than the existing interval-based characterization techniques. | |
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International
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Si |
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JCR
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Si |
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Title
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IEEE T COMPUT AID D |
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ISBN
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0278-0070 |
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Impact factor JCR
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0,776 |
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Impact info
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Volume
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26 |
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Journal number
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11 |
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From page
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1923 |
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To page
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1933 |
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Month
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SIN MES |
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Ranking
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