Innovation science and technologiy 2-jild 4-son (2026)
MATHEMATICAL MODELS AND ALGORITHMS FOR PROCESSING NOISE DATA
Jovlieva, Dilnoz
Annotatsiya
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.
noisy data, mathematical models, signal processing, adaptive filters, statistical methods, machine learning, noise filtering.
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.