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Abstract
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| Systems based on fixed-point arithmetic, when carefully designed, seem to behave as theirinfinite precision analogues. Most often, however, this is only a macroscopic impression: finiteword-lengths inevitably approximate the reference behavior introducing quantization errors, andconfine the macroscopic correspondence to a restricted range of input values. Understandingthese differences is crucial to design optimized fixed-point implementations that will behave ?asexpected? upon deployment. Thus, in this chapter, we survey the main approaches proposed inliterature to model the impact of finite precision in fixed-point systems. In particular, we focus onthe rounding errors introduced after reducing the number of least-significant bits in signals andcoefficients during the so-called quantization process. | |
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International
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Si |
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1007/978-3-319-91734-4_29?. |
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Book Edition
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Book Publishing
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Springer |
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ISBN
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978-3-319-91733-7 |
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Series
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Book title
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Handbook of Signal Processing Systems |
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From page
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1063 |
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To page
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1101 |