Title :
Greedy Approximation with Regard to Some Normalized Bases
Author :
Zhang, Sheng ; Ye, Peixin
Author_Institution :
LPMC, Nankai Univ., Tianjin, China
Abstract :
Nonlinear approximation plays an important role in machine learning, signal processing and statistical estimating. In this paper we study the efficiency of greedy algorithm for nonlinear approximation. We estimate the error for greedy approximation with regard to some normalized bases with different properties.
Keywords :
approximation theory; greedy approximation; nonlinear approximation; Approximation algorithms; Approximation methods; Greedy algorithms; Hilbert space; Presses; Signal processing algorithms; Tensile stress;
Conference_Titel :
Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3708-5
Electronic_ISBN :
978-1-4244-3709-2
DOI :
10.1109/WICOM.2010.5600236
