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 ...

A novel neural network adaptive filter algorithm is proposed to address the challenge of weak spectral signals and low accuracy in micro-spectrometer detection. This ...

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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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