Broadband subspace decomposition of convoluted speech data using polynomial EVD algorithms
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6416-4
Abstract: The Polynomial EVD (PEVD) was developed to achieve broadband subspace decomposition as a part of two-stage convolutive Blind Source Separation (BSS) algorithm. It has the ability to accomplish strong (total) decorrelation and spectral majorization on… read more here.
Keywords: subspace decomposition; subspace; broadband subspace; polynomial evd ... See more keywords
Hyperspectral and Multispectral Image Fusion via Variational Tensor Subspace Decomposition
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3094558
Abstract: The fusion of hyperspectral image (HSI) and multispectral image (MSI) refers to enhance the spatial resolution of HSI with the help of a corresponding MSI that has a high spatial resolution to finally obtain an… read more here.
Keywords: subspace decomposition; image; variational tensor; fusion ... See more keywords
A New Method of Wheelset Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24101381
Abstract: During the movement of rail trains, trains are often subjected to harsh operating conditions such as variable speed and heavy loads. It is therefore vital to find a solution for the issue of rolling bearing… read more here.
Keywords: method wheelset; subspace decomposition; fault; decomposition ... See more keywords