Title
A computationally efficient nonlinear least squares method using random basis functions
Document Type
Article
Date of Original Version
6-21-2013
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. © 1994-2012 IEEE.
Publication Title, e.g., Journal
IEEE Signal Processing Letters
Volume
20
Issue
7
Citation/Publisher Attribution
Kay, Steven. "A computationally efficient nonlinear least squares method using random basis functions." IEEE Signal Processing Letters 20, 7 (2013): 721-724. doi: 10.1109/LSP.2013.2264808.
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