College students’ municipal solid waste source separation behavior and its influential factors: A case study in Beijing, China
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2017.06.224
Abstract: China has the highest higher education enrollment across the world since 2005. Beijing has China’s greatest concentration of higher education universities and institutes, and therefore has the greatest potential and necessity for conducting waste source… read more here.
Keywords: beijing china; source separation; waste; waste source ... See more keywords
Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation
Sign Up to like & getrecommendations! Published in 2017 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2016.11.036
Abstract: ABSTRACT Steady‐state evoked potentials (SSEPs) are rhythmic brain responses to rhythmic sensory stimulation, and are often used to study perceptual and attentional processes. We present a data analysis method for maximizing the signal‐to‐noise ratio of… read more here.
Keywords: sensory stimulation; rhythmic sensory; source; source separation ... See more keywords
Stimulation artifact source separation (SASS) for assessing electric brain oscillations during transcranial alternating current stimulation (tACS)
Sign Up to like & getrecommendations! Published in 2021 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2020.117571
Abstract: Highlights • Stimulation Artifact Source Separation (SASS) is introduced, a real-time compatible signal decomposition algorithm for separating electric brain activity and stimulation signal artifacts related to amplitude-modulated transcranial alternating current stimulation (AM-tACS)• Employing SASS, phase… read more here.
Keywords: stimulation artifact; stimulation; source separation; brain ... See more keywords
Single channel blind source separation based on probabilistic matrix factorisation
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.2013
Abstract: A novel single channel blind source separation method based on probabilistic matrix factorisation (PMF) is proposed. Compared to the conventional non-negative matrix factorisation (NMF) employing Euclidean distance or Kullback–Leibler divergence, PMF uses the log posterior… read more here.
Keywords: source; source separation; single channel; matrix factorisation ... See more keywords
A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematics
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acd4e9
Abstract: Objective. Ultrasound can detect individual motor unit (MU) activity during voluntary isometric contractions based on their subtle axial displacements. The detection pipeline, currently performed offline, is based on displacement velocity images and identifying the subtle… read more here.
Keywords: kinematics; unit; blind source; source separation ... See more keywords
Blind Source Separation Method for Bearing Vibration Signals
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2773665
Abstract: In underdetermined blind source separation (UBSS) of vibration signals, the estimation of the mixing matrix is often affected by noise and by the type of the used clustering algorithm. A novel UBSS method for the… read more here.
Keywords: vibration; source separation; mixing matrix; method ... See more keywords
Underdetermined Source Separation Based on Generalized Multichannel Variational Autoencoder
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2954120
Abstract: This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel non-negative matrix factorization (MNMF) is a powerful method for underdetermined audio source separation, which adopts the NMF concept to model and… read more here.
Keywords: multichannel variational; method; source separation; variational autoencoder ... See more keywords
Local AM/FM Parameters Estimation: Application to Sinusoidal Modeling and Blind Audio Source Separation
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2867799
Abstract: This letter extends our recently introduced method which was designed to estimate instantaneous frequency and chirp rate of linearly modulated signals. Indeed, we derive several new estimators related to our previous ones which provide in… read more here.
Keywords: frequency; source separation; sinusoidal modeling;
Joint Preprocessing of Multiple Datasets to Enhance Source Separation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2953874
Abstract: Blind source separation (BSS), i.e. extracting unknown sources from mixtures of them, has attracted great interest in various fields of signal processing, for instance in neurophysiological data analysis. By increasing the availability of multiple and… read more here.
Keywords: multiple datasets; source separation; inline formula; source ... See more keywords
Online Spectrogram Inversion for Low-Latency Audio Source Separation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.2970310
Abstract: Audio source separation is usually achieved by estimating the short-time Fourier transform (STFT) magnitude of each source, and then applying a spectrogram inversion algorithm to retrieve time-domain signals. In particular, the multiple input spectrogram inversion… read more here.
Keywords: spectrogram inversion; audio source; separation; source separation ... See more keywords
Joint Amplitude and Phase Refinement for Monaural Source Separation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3031464
Abstract: Monaural source separation is often conducted by manipulating the amplitude spectrogram of a mixture (e.g., via time-frequency masking and spectral subtraction). The obtained amplitudes are converted back to the time domain by using the phase… read more here.
Keywords: separation; joint amplitude; source separation; phase ... See more keywords