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.


    Access

    Download


    Export, share and cite



    Title :

    COMPUTING EFFICIENCY OF THE INTERPOLATED LOW PASS FILTERS


    Contributors:


    Publication date :

    2018




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Computing efficiency of the three-stage interpolated low pass filters

    I. S. Savinykh / D. A. Chemasov | DOAJ | 2018

    Free access

    Symbol Timing Synchronization Using Interpolated Matched-Filters

    Liu, Z. / Wang, J. / Yi, K. | British Library Online Contents | 2008



    Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment

    Jalota, Devansh / Solovey, Kiril / Tsao, Matthew et al. | TIBKAT | 2022


    Interpolated moire phase measurement topography

    Moore, J. H. / Institute of Physics; Applied Optics Division / Institution of Electrical Engineers et al. | British Library Conference Proceedings | 1990