The rise of nonnegative matrix factorization: algorithms and applications
YT Guo, QQ Li, CS Liang - Information Systems, 2024 - Elsevier
Although nonnegative matrix factorization (NMF) is widely used, some matrix factorization
methods result in misleading results and waste of computing resources due to lack of timely …
methods result in misleading results and waste of computing resources due to lack of timely …
A robust hybrid neural network architecture for blind source separation of speech signals exploiting deep learning
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 …
significant research topic within the field of signal processing. The imperative for the …
Underwater Acoustic Nonlinear Blind Ship Noise Separation Using Recurrent Attention Neural Networks
Ship-radiated noise is the main basis for ship detection in underwater acoustic
environments. Due to the increasing human activity in the ocean, the captured ship noise is …
environments. Due to the increasing human activity in the ocean, the captured ship noise is …
Blind Source Separation and Denoising of Underwater Acoustic Signals
Due to the addition of new underwater vessels and other natural noise contributors, the
underwater environment is becoming congested and noisy. Undersea monitoring …
underwater environment is becoming congested and noisy. Undersea monitoring …
[PDF][PDF] Naïve Unsupervised Bioacoustics Signal Processing with Nonnegative Matrix Factorization
A Marmoret, N Farrugia, D Cazau - 2èmes Journées des Jeunes …, 2024 - hal.science
Source Separation can be obtained by applying NMF on the spectrogram of an audio signal
[2]. It has already been studied for bioacoustics signals [3, 4], notably for underwater [5, 6] …
[2]. It has already been studied for bioacoustics signals [3, 4], notably for underwater [5, 6] …