Results 51 to 60 of about 491,522 (274)
Large margin filtering for signal sequence labeling
, 2010 Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and to apply a classification algorithm on the filtered samples.
Flamary, Rémi +2 more
core +4 more sources
FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
Classification of digital non-linear filters by discrete convolutions
Известия высших учебных заведений. Поволжский регион:Технические науки, 2022 Background. In the field of digital signal processing, there are many problems that can not be solved with traditional linear filtering methods. In particular, the use of linear filtering does not allow separating signal from the noise in the case when
M.A. Shcherbakov
doaj +1 more source
Using Nonlinear Diffusion Model to Identify Music Signals
Advances in Mathematical Physics, 2021 In this paper, combined with the partial differential equation music signal smoothing model, a new music signal recognition model is proposed. Experimental results show that this model has the advantages of the above two models at the same time, which ...
Qiang Li
doaj +1 more source
An Advanced AFWMF Model for Identifying High Random-Valued Impulse Noise for Image Processing
Applied Sciences, 2021 In this study, a novel adaptive fuzzy weighted mean filter (AFWMF) model based on the directional median technique and fuzzy inference is presented for solving the restoring high-ratio random-valued noise in image processing. This study aims, not only to
Jieh-Ren Chang +3 more
doaj +1 more source
Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques [PDF]
, 2013 In this paper, we propose a novel reduced-rank adaptive filtering algorithm by blending the idea of the Krylov subspace methods with the set-theoretic adaptive filtering framework.
Isao Yamada +3 more
core
Robust high-capacity audio watermarking based on FFT amplitude modification [PDF]
, 2010 This paper proposes a novel robust audio watermarking algorithm to embed data and extract it in a bit-exact manner based on changing the magnitudes of the FFT spectrum.
Fallahpour Reza, Mehdi +1 more
core +1 more source
Crosstalk between the ribosome quality control‐associated E3 ubiquitin ligases LTN1 and RNF10
FEBS Letters, EarlyView.Loss of the E3 ligase LTN1, the ubiquitin‐like modifier UFM1, or the deubiquitinating enzyme UFSP2 disrupts endoplasmic reticulum–ribosome quality control (ER‐RQC), a pathway that removes stalled ribosomes and faulty proteins. This disruption may trigger a compensatory response to ER‐RQC defects, including increased expression of the E3 ligase RNF10 ...
Yuxi Huang +8 more
wiley +1 more source
Research on Evaluating the Filtering Method for Broiler Sound Signal from Multiple Perspectives
Animals, 2021 Broiler sounds can provide feedback on their own body condition, to a certain extent. Aiming at the noise in the sound signals collected in broiler farms, research on evaluating the filtering methods for broiler sound signals from multiple perspectives ...
Zhigang Sun +5 more
doaj +1 more source
, 2017 Singing voice separation based on deep learning relies on the usage of time-frequency masking. In many cases the masking process is not a learnable function or is not encapsulated into the deep learning optimization.
Bengio, Yoshua +5 more
core +1 more source