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引用次数: 10

摘要

我们提出了一种技术,在对数系统中实现的算术可以以比通常可用的32位更高的精度执行,而很少额外的硬件或执行时间。该技术的使用要求所有数据都在一个有限的范围内,并依赖于将每个这样的值缩放到数字系统的最大范围内。我们用递归最小二乘算法来说明这个过程。我们证明了这个限制是很容易适应的,并且该技术在精度和数值稳定性方面比32位浮点数有很大的提高。
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Extended precision logarithmic arithmetic
We present a technique with which arithmetic implemented in the logarithmic number system may be performed at considerably higher precision than normally available at 32 bits, with little additional hardware or execution time. Use of the technique requires that all data lie in a restricted range, and relies on scaling each such value into the maximum range of the number system. We illustrate the procedure using a recursive least squares algorithm. We show that the restriction is easily accommodated, and that the technique can yield very substantial gains in accuracy and numerical stability over 32-bit floating-point.
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