Abstract: LMS adaptive filtering algorithm is widely used in adaptive control system. To a certain extent the variable step size LMS algorithm can solve the conflict ...

This paper presents a novel hybrid framework that integrates Zero-Phase filtering (ZP) with adaptive Least Mean Squares (LMS) filtering to enhance noise reduction in signal generation and processing ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...

Abstract: The increased digitalization of the modern world has led to more frequent signal interferences, highlighting the need to separate the signal of interest from interfering signals. This is ...

The year 2024 is the time when most manual things are being automated with the assistance of Machine Learning algorithms. You’d be surprised at the growing number of ML algorithms that help play chess ...

Various melodic noise filtering techniques viz. Adaptive Noise Cancellation, Spectral Methods and Deep Learning algorithms have been employed to filter music signals corrupted with additive Gaussian ...

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