Zero phase distortions is essential for digital communication systems, therefore, discrete filters are used therein with finite impulse response, and such filters do not make such distortions. The disadvantages of these filters are high computational costs. The article presents interpolated low-pass filters with finite impulse response. The maximum value of the interpolation coefficient is determined depending on the filter attenuation band. The dependence of the factor of computational efficiency of interpolated low-pass filters on the interpolation factor, bandwidth and transition bandwidth is obtained. It is shown that the ratio for the factor of computational efficiency can be applied to determine the filter factors by weighing methods, frequency sampling, and also by the optimal method. In addition, a ratio is obtained for calculating the optimum interpolation coefficient corresponding to the maximum coefficient of computational efficiency.
COMPUTING EFFICIENCY OF THE INTERPOLATED LOW PASS FILTERS
2018
Article (Journal)
Electronic Resource
Unknown
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