DISCRETE DIFFERENTIATION ALGORITHMS WITH INTERMEDIATE SMOOTHING OF INPUT SIGNAL COUNTS
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.