DocumentCode
75328
Title
A Computationally Efficient Nonlinear Least Squares Method Using Random Basis Functions
Author
Kay, Steven
Author_Institution
Dept. of Electr., Comput., & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
Volume
20
Issue
7
fYear
2013
fDate
Jul-13
Firstpage
721
Lastpage
724
Abstract
A method to obtain parameter estimates in a nonlinear least squares problem is proposed. Its main advantage is computational efficiency and can be used when a direct grid search cannot. The approach is based on the theory of random basis functions. An example of its application to frequency estimation is given and other applications discussed.
Keywords
frequency estimation; least mean squares methods; random functions; signal representation; frequency estimation; nonlinear least square method; parameter estimation; random basis function; signal representation; Bandwidth; Frequency estimation; Least squares approximations; Maximum likelihood estimation; Quantization (signal); Vectors; Estimation; signal representations; signal resolution;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2013.2264808
Filename
6519322
Link To Document