Modifying the filter based on frequency sampling for digital processing of stochastic processes with hidden periodicity

Authors

  • O. V. Ponomareva Kalashnikov Izhevsk State Technical University
  • N. V. Ponomareva Head of software testing department, JSC "Computer", Izhevsk

Keywords:

filter based on the frequency sampling, discrete random process, range, parametric discrete Fourier transformation, hidden periodicity

Abstract

The paper considers the modification of the filter based on the frequency sampling as the algorithm of a sliding one-bin parametric DFT (SDFT-P)), which allows computing recursively the value of the k-th bin of the N-point parametric DFT (DFT-P) from a sliding window of N samples from a set of frequencies, the number of which is varied by the parameter.

Author Biographies

O. V. Ponomareva, Kalashnikov Izhevsk State Technical University

PhD in Engineering, Associate Professor

N. V. Ponomareva, Head of software testing department, JSC "Computer", Izhevsk

References

Применение цифровой обработки сигналов / под ред. Э. Оппенгейма ; пер. с англ. под ред. А. М. Рязанова. – М. : Мир. 1980. – 552 с.

Рабинер Л., Гоулд Б. Теория и применение цифровой обработки сигналов. – М. : Мир, 1978. – 848 с.

Лайонс Р. Цифровая обработка сигналов / пер. с англ. – 2-е изд. – М. : Бином-Пресс, 2011. – 654 с.

Пономарева О. В. Развитие теории спектрального анализа дискретных сигналов на конечных интервалах в базисе параметрических дискретных экспоненциальных функций // Цифровая обработка сигналов. – 2010. – № 2. – С. 7–11.

Published

15.06.2012

How to Cite

Ponomareva О. В., & Ponomareva Н. В. (2012). Modifying the filter based on frequency sampling for digital processing of stochastic processes with hidden periodicity. Intellekt. Sist. Proizv., 7(2), 122–129. Retrieved from https://izdat.istu.ru/index.php/ISM/article/view/1305

Issue

Section

Articles