Pii: S0165-1684(01)00146-3
نویسندگان
چکیده
In this paper, we study convergence and e ciency of the batch estimator and natural gradient algorithm for blind deconvolution. First, the blind deconvolution problem is formulated in the framework of a semiparametric model, and a family of estimating functions is derived for blind deconvolution. To improve the learning e ciency of the online algorithm, explicit standardized estimating functions are given and within this framework the supere ciency of batch learning and online natural gradient learning is proven. ? 2001 Elsevier Science B.V. All rights reserved.
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