کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6957412 1451917 2018 38 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Designing sampling schemes for multi-dimensional data
ترجمه فارسی عنوان
طراحی طرح های نمونه برداری برای داده های چند بعدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
In this work, we propose a method for determining a non-uniform sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The resulting sampling scheme minimizes the sum of the Cramér-Rao lower bounds for the parameters of interest, given a desired number of sampling points. The proposed framework allows for selecting an arbitrary subset of the parameters detailing the model, as well as weighing the importance of the different parameters. Also presented is a scheme for incorporating any imprecise a priori knowledge of the locations of the parameters, as well as defining estimation performance bounds for the parameters of interest. Numerical examples illustrate the efficiency of the proposed scheme.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 150, September 2018, Pages 1-10
نویسندگان
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