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: 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 robust adaptive technique is proposed to estimate the instantaneous power system frequency using a momentum-learning-control-rate-based fractional-order least mean squares approach with ...

Abstract: The proposed work focuses on the use of the Pipelined Adaptive LMS algorithm as an effective noise cancellation technique in lung signals. The LMS algorithm is an adaptive filtering ...

1 School of Mechanical and Energy Engineering, Shaoyang University, Shaoyang, China 2 Hunan Province Key Laboratory of Southwest, Hunan Academician Workstation, School of Information Science and ...

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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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