DocumentCode
3417989
Title
Amplifier predistortion method based on support vector machine
Author
Chen, Kaiya ; Wang, Minxi ; Li, Xusheng
Author_Institution
Electromagn. Inst., Southwest Jiaotong Univ., Chengdu, China
Volume
5
fYear
2005
fDate
4-7 Dec. 2005
Abstract
Support vector machine (SVM) is a new general learning machine, which can approximate any function at any accuracy. The baseband predistortion method for amplifier is studied based on SVM. Simulation shows good linearization results and good generalization performance.
Keywords
amplifiers; circuit analysis computing; generalisation (artificial intelligence); learning (artificial intelligence); linearisation techniques; support vector machines; amplifier predistortion method; baseband predistortion method; learning machine; support vector machine; Baseband; Character generation; Kernel; Linear regression; Machine learning; Neural networks; Predistortion; Quadrature phase shift keying; Signal generators; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference Proceedings, 2005. APMC 2005. Asia-Pacific Conference Proceedings
Print_ISBN
0-7803-9433-X
Type
conf
DOI
10.1109/APMC.2005.1607109
Filename
1607109
Link To Document