Abstract
We consider the problem of spectral analysis of signals composed of sums of multiple amplitude modulated, possibly
harmonically related, sinusoids using a sparse approach. By separating the nonlinear frequency variables using a dictionary of
possible frequency components as well as a spline basis for the amplitude modulation, results in a convex criterion which can be
efficiently solved without worrisome local minima. The resulting method makes no model order assumption and automatically
estimates both the signal parameters and their amplitude modulations
harmonically related, sinusoids using a sparse approach. By separating the nonlinear frequency variables using a dictionary of
possible frequency components as well as a spline basis for the amplitude modulation, results in a convex criterion which can be
efficiently solved without worrisome local minima. The resulting method makes no model order assumption and automatically
estimates both the signal parameters and their amplitude modulations
| Original language | English |
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| Publication status | Published - 2014 |
| Event | 48th Asilomar Conference on Signals, Systems and Computers, 2014 - At Pacific Grove, CA, USA., Pacific Grove, California, United States Duration: 2014 Nov 2 → 2014 Nov 5 Conference number: 48 |
Conference
| Conference | 48th Asilomar Conference on Signals, Systems and Computers, 2014 |
|---|---|
| Country/Territory | United States |
| City | Pacific Grove, California |
| Period | 2014/11/02 → 2014/11/05 |
Subject classification (UKÄ)
- Signal Processing