<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Signal periodic decomposition and periodic estimation are two crucial problems in the signal processing domain. Due to its significance, the applications have been extended to fields like periodic sequence analysis of biomolecules, stock market predictions, speech signal processing, and musical pitch analysis. The recently proposed Ramanujan sums (RS) based transforms are very useful in analysing the periodicity of signals. This paper proposes a method for periodicity detection of signals with multiple periods based on autocorrelation and Ramanujan subspace projection with low computational complexity. The proposed method is compared with other signal periodicity detection methods and the results show that the proposed method detects the signal period correctly in less time.</p></abstract>

Signal periodic decomposition and periodic estimation are two crucial problems in the signal processing domain. Due to its significance, the applications have been extended to fields like periodic sequence analysis of biomolecules, stock market predictions, speech signal processing, and musical pitch analysis. The recently proposed Ramanujan sums (RS) based transforms are very useful in analysing the periodicity of signals. This paper proposes a method for periodicity detection of signals with multiple periods based on autocorrelation and Ramanujan subspace projection with low computational complexity. The proposed method is compared with other signal periodicity detection methods and the results show that the proposed method detects the signal period correctly in less time.

Signal periodicity detection using Ramanujan subspace projection

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Signal periodicity detection using Ramanujan subspace projection"}

Signal periodic decomposition and periodic estimation are two crucial problems in the signal processing domain. Due to its significance, the applications have...

Signal periodicity detection using Ramanujan subspace projection

Article Category: Papers

Online veröffentlicht: 26. Nov. 2020

Seitenbereich: 326 - 332

Eingereicht: 20. Apr. 2020

DOI: https://doi.org/10.2478/jee-2020-0044

Schlüsselwörter
Ramanujan sums, subspace decomposition, periodicity detection, autocorrelation

© 2020 Deepa Abraham et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Signal periodicity detection using Ramanujan subspace projection

Article Category: Papers

Online veröffentlicht: 26. Nov. 2020

Seitenbereich: 326 - 332

Eingereicht: 20. Apr. 2020

DOI: https://doi.org/10.2478/jee-2020-0044

SchlüsselwörterRamanujan sums, subspace decomposition, periodicity detection, autocorrelation

© 2020 Deepa Abraham et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Ramanujan sums, subspace decomposition, periodicity detection, autocorrelation