Nonparametric estimation of a point-spread function in multivariate problems
The removal of blur from a signal, in the presence of noise, is readily accomplished if the blur can be described in precise mathematical terms. However, there is growing interest in problems where the extent of blur is known only approximately, for example in terms of a blur function which depends on unknown parameters that must be computed from data. More challenging still is the case where no parametric assumptions are made about the blur function. There has been a limited amount of...[Show more]
|Collections||ANU Research Publications|
|Source:||Annals of Statistics|
|Access Rights:||Open Access|
|01_Peter Hal_Nonparametric_estimation_of_a_2007.pdf||Published Version||1.27 MB||Adobe PDF|
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