Abstract
In this paper, we introduce a non-parametric 2-D spectral estimator for smooth spectra, allowing for irregularly sampled measurements. The estimate is formed by assuming that the spectrum is smooth and will vary slowly over the frequency grids, such that the spectral density inside any given rectangle in the spectral grid may be approximated well as a plane. Using this framework, the 2-D spectrum is estimated by finding the solution to a convex covariance fitting problem, which has an analytic solution.
%solved using the generalized alternating direction method of multipliers.
Numerical simulations indicate the achievable performance gain as compared to the Blackman-Tukey estimator.
%solved using the generalized alternating direction method of multipliers.
Numerical simulations indicate the achievable performance gain as compared to the Blackman-Tukey estimator.
Original language | English |
---|---|
Title of host publication | European Signal Processing Conference |
Publisher | EURASIP |
Number of pages | 5 |
Publication status | Published - 2014 |
Event | 22nd European Signal Processing Conference - EUSIPCO 2014 - Lissabon, Portugal Duration: 2014 Sept 1 → 2014 Sept 5 Conference number: 22 |
Publication series
Name | |
---|---|
ISSN (Print) | 2219-5491 |
Conference
Conference | 22nd European Signal Processing Conference - EUSIPCO 2014 |
---|---|
Country/Territory | Portugal |
City | Lissabon |
Period | 2014/09/01 → 2014/09/05 |
Subject classification (UKÄ)
- Probability Theory and Statistics
Free keywords
- 2-D frequency estimation
- smooth spectrum
- irregular sampling.