Function Estimation Using Data-Adaptive Kernel Smoothers—How Much Smoothing?
نویسندگان
چکیده
منابع مشابه
Function Estimation Using Data Adaptive Kernel Smoothers - How Much Smoothing?
We consider a common problem in physics: How to estimate a smooth function given noisy measurements. We assume that the unknown signal is measured at N different times, {ti: i = 1, . . . N} and that the measurements, {yi}, have been contaminated by additive noise. Thus the measurements satisfy yi = g(ti) + i, where g(t) is the unknown signal and i are random errors. For simplicity, we assume th...
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ژورنال
عنوان ژورنال: Computers in Physics
سال: 1994
ISSN: 0894-1866
DOI: 10.1063/1.4823316