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A Computationally Efficient Nonlinear Least Squares Method Using Random Basis Functions
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DOI：10.1109/LSP.2013.2264808.png)
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Abstract
En 中文
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:
Estimation
signal representations
signal resolution
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
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