Calculation of narrowband lowpass filters with finite impulse response

Authors

  • A. A. Lanne The Bonch-Bruevich Saint-Petersburg State University of Telecommunication, Russian Federation
  • T. V. Merkucheva The Bonch-Bruevich Saint-Petersburg State University of Telecommunication, Russian Federation
  • A. I. Solonina The Bonch-Bruevich Saint-Petersburg State University of Telecommunication, Russian Federation

DOI:

https://doi.org/10.3103/S0735272709060041

Abstract

This study provides a review of digital filters known under the name “interpolated finite impulse response filters” (IFIR filters) that make it possible to create narrowband lowpass filters (LPF) with substantially reduced computational load and, consequently, a simpler design as compared with the conventional finite impulse response filters (FIR filters).

References

R. G. Lyons, Understanding Digital Signal Processing (Pearson Education, New Jersey, 1996; Binom, Moscow, 2006).

R. G. Lyons, “Interpolated narrowband lowpass FIR filters,” IEEE Signal Processing Magazine (Jan. 2003).

S. N. Bernstein, Extreme Properties of Polynomials (ONTI NKPG, 1937) [in Russian].

A. A. Lanne, “Synthesis of nonrecursive digital filters with symmetric characteristics,” Izv. Vyssh. Uchebn. Zaved., Radioelektron. 38(3), 3 (1995); Radioelectron. Commun. Syst. 38(3), 1 (1995)].

I. Anufriev, A. Smirnov, and E. Smirnova, MATLAB 7 (BKhV-Peterburg, St. Petersburg, 2005) [in Russian].

V. P. Dyakonov, MATLAB 6.5 SP1/7.0 Simulink 5/6. Signal Processing and Filter Design (SOLON-Press, Moscow, 2005) [in Russian].

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Published

2009-06-04

Issue

Vol. 52 No. 6 (2009)

Section

Research Articles