Dimensionality Reduction of Hyperspectral Imagery Using Sparse Graph Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2016.2606578
Abstract: Combining with sparse representation, the sparse graph can adaptively capture the intrinsic structural information of the specified data. In this paper, an unsupervised sparse-graph-learning-based dimensionality reduction (SGL-DR) method is proposed for hyperspectral image. In SGL-DR,… read more here.
Keywords: information; graph learning; sparse graph; graph ... See more keywords
BP-Based Sparse Graph List Decoding of Polar Codes
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2023.3257176
Abstract: How to construct an effective polar decoding scheme has attracted researchers in the field of communication. The belief propagation list (BPL) decoder has performance improvement over the traditional BP decoder but comes with much higher… read more here.
Keywords: list; sparse graph; decoder; based sparse ... See more keywords
Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2016.2641985
Abstract: Regularization has appeared explicitly in hyperspectral image (HSI) classification community, which serves as a promising paradigm for leveraging labeled and unlabeled information, computer’s automation and user’s interaction, spectral and spatial information, and so on. Graph-based… read more here.
Keywords: classification; graph regularization; sparse graph; regularization ... See more keywords
Joint Sparse Graph for FBMC/OQAM Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2810638
Abstract: As an advanced nonorthogonal multiple access (NOMA) technique, the low density signature (LDS) has never been used in filter bank multicarrier (FBMC) systems. In this paper, we model a low density weight matrix (LDWM) to… read more here.
Keywords: low density; lds fbmc; sparse graph; joint sparse ... See more keywords