INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

DATA COMPRESSION ALGORITHM BASED ON WAVELET TRANSFORMER; ANALYSIS AND IMPLEMENTATION IN MATLAB

Authors

Tokhtabubi Imanbekova International Information Technologies University
Zhanar Ibrayeva International Information Technologies University
Гаухар Джаканова Международный университет информационных технологии
Bagdat Kozhakhmetova International Information Technologies University

DOI:

https://doi.org/10.54309/IJICT.2026.26.2.007

Keywords:

wavelet transformer, data compression, audio signal, image processing, compression ratio, recovery algorithm, decomposition degree

Abstract

Abstract. This article examines one of the most pressing issues in the field of digital signal processing - methods for efficient data compression and recovery. The study analyzed data compression algorithms based on the discrete wavelet transform. The audio and image compression processes were implemented in the MATLAB environment, and the influence of different wavelet types and division levels on the compression efficiency was assessed. The results of the study showed the efficiency of Dmey and DB20 wavelets for audio signals, as well as Haar and Bior1.1 wavelets for images. The proposed approach allows optimizing the processes of data storage and transmission without reducing their quality. The efficiency of the algorithm is confirmed by high results in compression and restoration of various types of signals.

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Published

2026-06-30

How to Cite

Imanbekova , T., Ibrayeva , Z., Джаканова, Г., & Kozhakhmetova, B. (2026). DATA COMPRESSION ALGORITHM BASED ON WAVELET TRANSFORMER; ANALYSIS AND IMPLEMENTATION IN MATLAB. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES, 7(2), 92–109. https://doi.org/10.54309/IJICT.2026.26.2.007

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Issue

Vol. 7 No. 2 (2026): МЕЖДУНАРОДНЫЙ ЖУРНАЛ ИНФОРМАЦИОННЫХ И КОММУНИКАЦИОННЫХ ТЕХНОЛОГИЙ

Section

ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ

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Copyright (c) 2026 INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Creative Commons License

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

https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en

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