AN ESTIMATE OF FUNDAMENTAL FREQUENCY USING PCC INTERPOLATION - COMPARATIVE ANALYSIS

This paper deals with the algorithm for an estimate of fundamental frequency, which is based on signal processing by window functions in time domain and parametric Cubic interpolation in frequential domain. In the second part of the paper, the results of the simulation of the algorithm for Catmull-Rom’s, Greville’s and Greville’s two-parametric kernel are presented. Taking MSE as a measure of the algorithm quality, optimal parameters of the selected kernel, selected kernel and a suitable window function are defined.

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