In this work, we propose a fast conjugate gradient method (CGM) for beamforming, after
thoroughly analyzing the performances of the least mean square (LMS), the recursive least …

Abstract Least Mean Square (LMS) beamforming algorithm is one of the most popular
method in array signal processing due to its low complexity. The main downside of this …

Abstract 5G applications such as the Internet of Things, high-resolution video streaming,
robotic cars, smart cities, and telehealth care have a universal presence nowadays. These …

Recently, a huge demand for wireless communication, especially for cellular
communication, has raised increased expectations. Current and future cellular …

Selecting the step of the least mean squares (LMS) algorithm is an old problem. This study
uses a new approach to address this problem resulting in a new algorithm with excellent …

Judicious selection of the step size parameter is crucial for adaptive algorithms to strike a
good balance between convergence speed and misadjustment. The fuzzy step size (FSS) …

The author has been a researcher and teacher of electrical engineering subjects for nearly
38 years. I began with control systems and taught that for the first 16 years of my life along …

This paper deals with the problem of Adaptive Noise Cancellation (ANC) for the speech
signal corrupted with an additive white Gaussian noise. After explaining the least Mean …

Анотація Мета роботи–аналітична оцінка продуктивності алгоритмів адаптивного
формування діаграми спрямованості smart-антени для застосування у системах …