Title :
Fast orthogonal least squares algorithm for efficient subset model selection
Author :
Chen, S. ; Wigger, J.
Author_Institution :
Dept. of Electr. & Electron. Eng., Portsmouth Univ., UK
fDate :
7/1/1995 12:00:00 AM
Abstract :
An efficient implementation of the orthogonal least squares algorithm for subset model selection is derived. Computational complexity of the algorithm is examined and the result shows that this new fast orthogonal least squares algorithm significantly reduces computational requirements
Keywords :
computational complexity; least squares approximations; signal processing; computational complexity; computational requirements; efficient subset model selection; fast orthogonal least squares algorithm; Computational complexity; Least squares methods; Radial basis function networks; Signal processing algorithms;
Journal_Title :
Signal Processing, IEEE Transactions on
