Discrete-Time Neural Network for Fast Solving Large Linear L1 Estimation Problems and Its Application to Image Restoration

There is growing interest in solving linear L1 estimation problems for sparsity of the solution and robustness against non-Gaussian noise. This paper proposes a discrete-time neural network which can calculate large linear L1 estimation problems fast. The proposed neural network has a fixed computat...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 23; H. 5; S. 812 - 820
Hauptverfasser:	Xia, Youshen, Sun, Changyin, Zheng, Wei Xing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY Institute of Electrical and Electronics Engineers 01.05.2012
Schlagworte:	Algorithms Applied sciences Artificial intelligence Computer science; control theory; systems Computer Simulation Connectionism. Neural networks Exact sciences and technology Image Interpretation, Computer-Assisted - methods Linear Models Neural Networks (Computer) Nonlinear Dynamics Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Signal Processing, Computer-Assisted Image processing Degenerate system global convergence Non gaussian noise large linear L Image restoration Neural network estimation problem Optimal solution Discrete time Problem solving Sparse representation Robustness Linear estimation Discrete-time neural network
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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