Minimum fuel neural networks and their applications to overcomplete signal representations-Reference-Cited by-同舟云学术

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Minimum fuel neural networks and their applications to overcomplete signal representations

Published:2000 Issue:8 Volume:47 Page:1146-1159
ISSN:1057-7122
Container-title:IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Wang Z.S.,Cheung J.Y.,Xia Y.S.,Chen J.D.Z.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx5/81/18903/00873870.pdf?arnumber=873870

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2. Method for Sparse Representation of Complex Data Based on Overcomplete Basis, l1 Norm, and Neural MFNN-like Network;Applied Sciences;2024-02-27

3. Matrix-type Recurrent Neural Network For Fast Solving Complex-variable ℓ1-norm Optimization;Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence;2023-03-17

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