Software component for processing digital signals IFFT-NOISE GATE

Authors

  • Виктория Викторовна Шведова National Technical University of Ukraine "Kyiv Polytechnic Institute" Peremogy Avenue, 37, Kyiv, Ukraine, 03056, Ukraine
  • Евгений Владимирович Семенов National Technical University of Ukraine "Kyiv Polytechnic Institute" Peremogy Avenue, 37, Kyiv, Ukraine, 03056, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.16389

Keywords:

noise suppression, filtration, digital signal processing, range, algorithm, software

Abstract

The paper deals with the issue of digital signal processing, aimed at their filtration from noise terms. The analysis of modern solutions, namely conventional filtration using FIR (finite-impulse response) and IIR (infinite-impulse response) filters, has shown their incapability for signal processing, as they exert great influence on a signal, thus distorting its AFR (amplitude-frequency response) and PFR (phase- frequency response), that leads to some problems and audio and video signal quality loss. Therefore, the paper gives the algorithm for digital filtration of various wanted signals from noise terms based on direct and indirect FFT-conversion. The specific feature of the algorithm lies in using a filtration adaptive threshold, its multiplying by frequency characteristics of initial signal allows receiving purified output signal. The choice of filtration threshold is based on priori properties of input signal. Software component for processing digital signals “iFFT-Noise Gate” has been developed based on the proposed method; the results of noise filtration modeling and comparative analysis of noise suppression properties of the new algorithm and the known analogues with respect to the most significant parameters THD, SINAD, SNR have been given. Thus, the algorithm allows obtaining a suppression ratio not worse than known analogues within the frequency range of 10-22050 Hz; does not change the initial signal phase, and virtually does not bring any sinusoidal distortions into a signal

Author Biographies

Виктория Викторовна Шведова, National Technical University of Ukraine "Kyiv Polytechnic Institute" Peremogy Avenue, 37, Kyiv, Ukraine, 03056

Ph.D.,

Department of Information and measuring equipment

Евгений Владимирович Семенов, National Technical University of Ukraine "Kyiv Polytechnic Institute" Peremogy Avenue, 37, Kyiv, Ukraine, 03056

Post graduate

Department of Information and measuring equipment

References

  1. Блейхут, Р. Быстрые алгоритмы цифровой обработки сигналов [Текст] / Р. Блейхут. – М.: Мир, 1989. – 448 с.
  2. Богнер, Р. Введение в цифровую фильтрацию. [Текст] : учеб.; пер. с англ. / Р. Богнер, А. Константинидис. – М.: Мир, 1976. – 216 с.
  3. Гольденберг, Л. М. Цифровая обработка сигналов [Текст]: учеб. / Л. М. Гольденберг, Б. Д. Матюшкин, М. Н. Поляк. – 2-е изд. перераб. и доп. – М.: Радио и связь, 1990. – 256 с.
  4. Лем, Г. Аналоговые и цифровые фильтры [Текст] / Г. Лем. – М.: Мир, 1982. – 592 с.
  5. Нуссбаумер, Г. Быстрое преобразование Фурье и алгоритмы вычисления сверток [Текст] / Г. Нуссбаумер. – М.: Радио и связь, 1985. – 248 с.
  6. Оппенгейм, А. Цифровая обработка сигналов [Текст] / А. Оппенгейм. – М.: Связь, 1979. – 416 с.
  7. Оппенгейм, А. Цифровая обработка сигналов [Текст] / А. Оппенгейм. – М. : Техносфера, 2006. – 856 с.
  8. Прокис, Дж. Цифровая связь [Текст] / Дж. Прокис. – М.: Радио и связь, 2000. – 800 с.
  9. Рабинер, Л. Теория и применение цифровой обработки сигналов [Текст] / Л. Рабинер. – М.: Мир, 1978. – 848 с.
  10. Сергиенко, А. Б. Цифровая обработка сигналов. [Текст] / А. Б. Сергиенко. – СПб. : Питер, 2002. – 608 с.
  11. Семенов, Е. В. Повышение методов точности фильтрации сигналов. Разраотка лабораторного стенда [Текст] : тез. док. международной науч.-практ. конф. «Інформаційні технології в освіті, науці і техніці», апрель 2012, Черкаси / Е. В. Семенов, В. В. Шведова; отв. ред. В. А. Королев. – Черкаси : ІТОНТ 2012 – С. 74-75.
  12. Blahut, R. (1989). Fast Algorithms for Digital Signal Processing Trans. From English. Academic Press, 448.
  13. Bogner, Ed. R., Konstantinidis, A. (1976). Introduction to digital filter Trans. from English. Academic Press, 216
  14. Goldenberg, L. M., Matyushkin, B. D., Polak, M. N. (1990). Digital Signal Processing: 2nd ed. rev. and add. Radio and communication, 256.
  15. Lem, G. (1982). Analog and Digital Filters. Trans. from English. Academic Press, 592.
  16. Nussbaumer, G. (1985). Fast Fourier transform and convolution algorithms for computing. Trans. from English. M.: Radio and communication, 248.
  17. Oppenheim, A., Schafer, R. (1979). Digital Signal Processing. Trans. from English. M: Communications, 416.
  18. Oppenheim, A., Schafer, R. (2006). Digital Signal Processing. Trans. from English. M: Technosphere, 856.
  19. Soured, J. (2000). Digital Communication. Trans. from English. M.: Radio and communication, 800.
  20. L. Rabiner, B. Gould. (1978). Theory and Application of Digital Signal Processing. Trans. from English. Academic Press, 848.
  21. Sergienko A.B. (2002). Digital Signal Processing. St. Petersburg. Peter, 608.
  22. Semenov, E.V., Shvedova, V.V. In: Korolev, V.A. (2012). Improving the accuracy of methods for filtering signals. Development of the laboratory stand: Theses. Doc. International scientific-practical. Conf. "Information Technology in education, Science and Technology". April 2012Cherkasy: ІTONT. p74-75.

Downloads

Published

2013-08-15

How to Cite

Шведова, В. В., & Семенов, Е. В. (2013). Software component for processing digital signals IFFT-NOISE GATE. Eastern-European Journal of Enterprise Technologies, 4(9(64), 29–34. https://doi.org/10.15587/1729-4061.2013.16389

Issue

Vol. 4 No. 9(64) (2013): Information and control systems

Section

Information and controlling system

License

Copyright (c) 2014 Виктория Викторовна Шведова, Евгений Владимирович Семенов

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.

A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.