Reduce the dimension of the predistortion model coefficients by lasso regression
Author:
Affiliation:
1. Xi'an, University of Posts and Telecommunications,School of Communications and Information Engineering,Xi'an,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9730107/9730121/09730199.pdf?arnumber=9730199
Reference12 articles.
1. A Direct Learning Approach for Neural Network Based Pre-Distortion for Coherent Nonlinear Optical Transmitter
2. Iterative Learning Control for RF Power Amplifier Linearization
3. Regression shrinkage and selection via the lasso: a retrospective
4. A Robust Augmented Complexity-Reduced Generalized Memory Polynomial for Wideband RF Power Amplifiers
5. Multi-objective cross-version defect prediction;shukla;Soft Computing,2016
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