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Quantization errors in averaged digitized data
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DOI：10.1016/S0165-1684(00)00212-7.png)
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Abstract
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Analytic expressions which describe average quantization errors in digitized data with additive noise are derived. The magnitude of this error depends on the noise present in the analog signal, the bin-size (the difference between neighboring quantization levels) and also the signal itself. An iterative process, which corrects for these residual quantization errors after averaging, is proposed and tested in simulations. Alternatively a method for avoiding quantization errors during digitization of signals which will later be averaged is suggested. (C) 2001 Elsevier Science B.V. All rights reserved.
Keywords:
digitization
quantization error
dithered quantization
averaging
normal noise
uniform noise
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