Abstract
In this work, we propose a method for determining an optimal, non-uniform, sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The optimal sampling scheme is determined given a suitable estimation bound on the parameters of interest, as well as incorporating any imprecise a priori knowledge of the locations of the parameters. Numerical examples illustrate the efficiency of the proposed scheme.
Original language | English |
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Title of host publication | 2017 51st Asilomar Conference on Signals, Systems, and Computers |
Publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. |
Pages | 850-852 |
Number of pages | 3 |
ISBN (Electronic) | 978-1-5386-1823-3 |
DOIs | |
Publication status | Published - 2017 |
Event | 51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017) - Asilomar, Pacific Grove, United States Duration: 2017 Oct 29 → 2017 Nov 1 |
Conference
Conference | 51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017) |
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Country/Territory | United States |
City | Pacific Grove |
Period | 2017/10/29 → 2017/11/01 |
Subject classification (UKÄ)
- Signal Processing