Sun’iy intellekt asosida raqamli televideniye signallarida shovqinni real vaqt rejimida aniqlash va yo‘qotishning innovatsion usullari

Muxammadmuso Halilov; Elyor Xabibullayev

Mualliflar

Halilov Muxammadmuso Muxammadyunusovich Farg‘ona davlat texnika universiteti
Xabibullayev Elyor Asqarbek o’g’li Farg‘ona davlat texnika universiteti

Annotatsiya

Ushbu maqolada sun’iy intellekt texnologiyalari asosida raqamli televideniye signallarida shovqinni real vaqt rejimida aniqlash va yo‘qotish usullari o‘rganiladi. Zamonaviy raqamli TV tizimlarida signal sifati muhim rol o‘ynaydi, chunki shovqin tasvir va ovoz sifatini sezilarli darajada yomonlashtiradi. Tadqiqotda Digital Video Broadcasting (DVB) signallarini qayta ishlashda Deep Learning va Machine Learning algoritmlarining qo‘llanilishi tahlil qilinadi. Natijalar AI asosidagi yondashuvlar an’anaviy filtrlash usullariga nisbatan yuqori samaradorlikka ega ekanligini ko‘rsatadi.

Kalit so‘zlar: sun’iy intellekt, raqamli TV, DVB, shovqinni kamaytirish, real vaqt tizimi, neyron tarmoqlar, signalni qayta ishlash

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