SELECTION OF DELTA FUNCTION WAVEFORM AND ITS PARAMETERS FOR OPTIMAL DISCRETE WAVELET TRANSFORM APPLICATION TO INPUT SIGNALS BASED ON THEIR PURPOSE

Authors

  • Qalandarov Jo'rabek To'khtamirzayev Namangan State University Author
  • Khakimov Ilhomjon Olimjon oglu Namangan State University Author
  • Tohirjonova Muattarkhon Rasuljon qizi Namangan State University Author
  • Ahmadjonova Madinabonu Khasanboy qizi Namangan State University Author
  • Sharipbayev Sobitkhon Sobir oglu Namangan State Technical University Author
  • Reutskaya Olga Gennadievna Belarusian National Technical University Author

Keywords:

Discrete wavelet transform, wavelet selection, impulse (delta), denoising, threshold, decomposition level, feature extraction, compression, diagnostics.

Abstract

The discrete wavelet transform (DWT) stands out as one of the most powerful techniques for analyzing non-stationary signals across time and scale domains. Sensor signals like vibration, acoustic, current-voltage, medical (ECG/EEG), and others captured in real-world systems typically feature noise, transient events (impulses, jumps, discontinuities), and gradual trends. Thus, selecting the appropriate wavelet type and its parameters during processing critically determines the output's precision and reliability.

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Published

2026-02-26

Issue

Vol. 2 No. 2 (2026)

Section

Articles

License

Creative Commons License

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

How to Cite

SELECTION OF DELTA FUNCTION WAVEFORM AND ITS PARAMETERS FOR OPTIMAL DISCRETE WAVELET TRANSFORM APPLICATION TO INPUT SIGNALS BASED ON THEIR PURPOSE. (2026). Modern American Journal of Engineering, Technology, and Innovation, 2(2), 20-35. https://usajournals.org/index.php/2/article/view/2016