This article is devoted to the analysis of mathematical models and algorithms for processing noisy data in moderninformation systems. The study examines the main approaches used to increase the signal-to-noise ratio, improve dataquality, and filter out erroneous data. The Results and Discussion section presents optimal models for various types ofnoise and their performance indicators in tabular form. The study highlights the importance of modern mathematical toolsin processing noisy data and their potential for practical applications.
| Mualliflar | Jovlieva , Dilnoz |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-04-01 |
| Jild | 2 |
| Son | 4 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.19465386 |
DOI: 10.5281/zenodo.19465386 · Maqolaning asl sahifasi
noisy data, mathematical models, signal processing, adaptive filters, statistical methods, machine learning, noise filtering.
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