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An Effective Sparse Representation Approach for Wireless Channels Based on the Modified Takenaka-Malmquist Basis Conference paper
Qiangrong Xu, Yong Fang, Liming Zhang. An Effective Sparse Representation Approach for Wireless Channels Based on the Modified Takenaka-Malmquist Basis[C]:IEEE, 2019, 273-277.
Authors:  Qiangrong Xu;  Yong Fang;  Liming Zhang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
K-svd  Public Modified Takenaka Malmquist Basis  Sparse Representation  Wireless Channels  
A Weighted K-SVD-Based Double Sparse Representations Approach for Wireless Channels Using the Modified Takenaka-Malmquist Basis Journal article
Lei Y., Fang Y., Zhang L.. A Weighted K-SVD-Based Double Sparse Representations Approach for Wireless Channels Using the Modified Takenaka-Malmquist Basis[J]. IEEE Access, 2018, 6, 54331-54342.
Authors:  Lei Y.;  Fang Y.;  Zhang L.
Favorite | TC[WOS]:4 TC[Scopus]:4 | Submit date：2019/04/04
Parallel Update  Public Weighted Modified Takenaka-malmquist Basis  Sparse Representations  Training Method  Weighted K-svd  Wireless Channels  
Broad learning system: Feature extraction based on K-means clustering algorithm Conference paper
Liu Z., Zhou J., Chen C.L.P.. Broad learning system: Feature extraction based on K-means clustering algorithm[C], 2017, 683-687.
Authors:  Liu Z.;  Zhou J.;  Chen C.L.P.
Favorite | TC[WOS]:31 TC[Scopus]:45 | Submit date：2019/02/11
Broad Learning System  Deep Learning  Feature Representation  Incremental Learning  K-means  Random Vector Functional Link Networks  Single Layer Feedforward Neural Networks  Svd  
Broad Learning System: Feature extraction based on K-means clustering algorithm Conference paper
Liu, Zhulin, Zhou, Jin, Chen, C. L. Philip, IEEE. Broad Learning System: Feature extraction based on K-means clustering algorithm[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 683-687.
Authors:  Liu, Zhulin;  Zhou, Jin;  Chen, C. L. Philip;  IEEE
Favorite | TC[WOS]:31 TC[Scopus]:45 | Submit date：2018/10/30
Single Layer Feedforward Neural Networks  Svd  Random Vector Functional Link Networks  Broad Learning System  Incremental Learning  Deep Learning  K-means  Feature Representation