Sparse Representations for Single Channel Speech Enhancement Based on Voiced/Unvoiced Classification
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0384-6
Abstract: The approach presented here in relies on a new voicing decision algorithm based on the multi-scale product (MP) characteristics. The MP is based on the multiplication of Wavelet Transform Coefficients at some scales. According to… read more here.
Keywords: representations single; enhancement based; channel speech; sparse representations ... See more keywords
Sparse representations based distributed attribute learning for person re-identification
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4967-4
Abstract: Searching for specific persons from surveillance videos captured by different cameras, known as person re-identification, is a key yet under-addressed challenge. Difficulties arise from the large variations of human appearance in different poses, and from… read more here.
Keywords: attribute learning; distributed attribute; person identification; sparse representations ... See more keywords
Sparse Representations for the Spectral–Spatial Classification of Hyperspectral Image
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-018-0908-6
Abstract: In this paper, we propose a new sparsity-based approach for the spectral–spatial classification of hyperspectral imagery. The proposed approach exploits the sparse representations of the spectral and spatial information contained in the data to generate… read more here.
Keywords: representations spectral; classification; spectral spatial; classification hyperspectral ... See more keywords
Bearing fault diagnosis based on sparse representations using an improved OMP with adaptive Gabor sub-dictionaries.
Sign Up to like & getrecommendations! Published in 2020 at "ISA transactions"
DOI: 10.1016/j.isatra.2020.07.004
Abstract: To accurately extract fault signatures from noisy signals, an improved orthogonal matching pursuit (OMP) with adaptive Gabor sub-dictionaries is proposed in this paper. Firstly, based on the optimal time-frequency characteristics of Gabor atom, the Gabor… read more here.
Keywords: sparse representations; gabor sub; fault; sub dictionaries ... See more keywords
Sparse representations for fault signatures via hybrid regularization in adaptive undecimated fractional spline wavelet transform domain
Sign Up to like & getrecommendations! Published in 2020 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abd11d
Abstract: Recent studies on vibration-based machine diagnostics have highlighted the role played by the wavelet transform (WT). However, common WT-based denoising methods (e.g. wavelet thresholding and non-penalty regularization) are often challenging in attaining accurate sparse representations… read more here.
Keywords: fault; fault signatures; sparse representations; representations fault ... See more keywords
Palmprint Identification Using an Ensemble of Sparse Representations
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DOI: 10.1109/access.2017.2787666
Abstract: Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high accuracy. Although SRC has good discriminative ability, its performance strongly depends on the quality of the… read more here.
Keywords: class; sparse representations; palmprint identification; identification ... See more keywords
Reduction of Power System Dynamic Models Using Sparse Representations
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2017.2648979
Abstract: This paper proposes a model reduction technique that simplifies the dynamic equations of complex power networks, using sparse representations of the system matrices. Instead of removing components from the state vector, elements from the system… read more here.
Keywords: reduction; system; sparse representations; using sparse ... See more keywords