In various signal processing applications, such as audio signal recovery, the extraction of
desired signals from a mixture of other signals is a crucial task. To achieve superior …

To address the issue of multipoint leakage detection in energy transportation systems, a
multiscale convolutional neural network based on kurtosis and Kullback-Leibler divergence …

In the contemporary era, blind source separation has emerged as a highly appealing and
significant research topic within the field of signal processing. The imperative for the …

Recent research has revealed that using machine learning systems for the analysis of
genetic data could reliably detect Alzheimer's disease. The interpretability of these models …

The advancement in technology and the availability of specialized digital signal processing
chips have made digital filter design and implementation more feasible in a variety of fields …

This paper introduces a novel approach to Blind Source Separation (BSS) for instantaneous
linear mixtures, leveraging geometric principles to recover statistically independent source …