ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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5
Issue
vol 60 / MAY, 2017
Article
UDC 621.396:681.323

DISCRETE DIFFERENTIATION ALGORITHMS WITH INTERMEDIATE SMOOTHING OF INPUT SIGNAL COUNTS

S. I. Ziatdinov
St. Petersburg State University of Aerospace Instrumentation, Department of Information Network Technologies; Professor


Abstract. Variance of quantization noise at the output of digital differentiating filter is shown to increase drastically with the filter order. Intermediate summation of input signal counts is proposed to reduce the quantization noise effect on derivative calculation errors.
Keywords: signal quantization, intermediate summation, discrete filtering, signal to noise ratio.