Abstract
Every measurement, whether the naked result of an impression on the human eye or ear, or the product of a sophisticated measuring instrument, is merely an approximation. We can know, and our computing machines can know, only a finite number of decimal places in the numerical representation of a distance or a weight or a force or a temperature.1 The eye has limited resolving power, the ear a limited frequency response, and comparable limitations hold for all other instruments whether biological or “mechanical.”These limitations are not merely due to poor “manufacturing technique”; as Heisenberg’s Uncertainty Principle tells us, they are inherent in the essence of things. Life and the universe depend on approximations. And so, too, does technology.
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© 1998 Springer Science+Business Media New York
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Resnikoff, H.L., Wells, R.O. (1998). Good Approximations. In: Wavelet Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-0593-7_2
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DOI: https://doi.org/10.1007/978-1-4612-0593-7_2
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