Blind Source Separation with Multi-Objective Optimization for Denoising

H Celik, N Karaboga - Elektronika ir Elektrotechnika, 2022 - eejournal.ktu.lt
Abstract Blind Source Separation is an optimization method frequently used in statistical
signal processing applications. There are many application areas such as ambient listening …

Blind Source Separation with Strength Pareto Evolutionary Algorithm 2 (SPEA2) Using Discrete Wavelet Transform

H Celik, N Karaboga - Electronics, 2023 - mdpi.com
This paper presents a new method for separating the mixed audio signals of simultaneous
speakers using Blind Source Separation (BSS). The separation of mixed signals is an …

[PDF][PDF] Применение популяционных алгоритмов в задачах многокритериальной оптимизации характеристик электрических фильтров

АВ Смирнов - Моделирование, оптимизация и …, 2021 - scholar.archive.org
Применение популяционных алгоритмов, позволяющих одновременно находить много
элементов аппроксимации множества Парето-оптимальных решений, обеспечивает …

Pareto Front Estimation in Multi-Objective Optimization for Signal Separation

H Celik, N Karaboga - 2023 Innovations in Intelligent Systems …, 2023 - ieeexplore.ieee.org
For the correct interpretation of the diagnosis of the disease, the electrical activity of the
human brain must be recorded without noise. When this situation is sometimes difficult …