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Abstract
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| Digital systems have finite precision, which imposes a maximum bound on the accuracy of the results of the computed mathematical operations. The so-called quantization process, also wordlength optimization, aims at finding cost-efficient hardware architectures that comply with a given maximum accuracy loss. Floating-point arithmetic is commonly used to perform scientific computations because it provides high dynamic range and mathematical precision. This special issue covers three major areas related to the quantization process: (i) the analysis of the selection of coefficient and signal precision on the design of linear systems, (ii) the efficient implementation and precision analysis of key IP cores for multimedia and communication systems and, (iii) the precision-wise high-level synthesis of DSP algorithms. | |
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International
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Si |
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JCR
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No |
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Title
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Journal on Advances in Signal Processing |
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ISBN
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1687-6172 |
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Impact factor JCR
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Impact info
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Volume
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2012 |
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Journal number
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32 |
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From page
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1 |
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To page
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2 |
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Month
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SIN MES |
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Ranking
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