255 search results - page 14 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
111
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper, we consider power spectral density estimation of bandlimited, wide-sense stationary signals from sub-Nyquist sampled data. This problem has recently received attent...
101
Voted
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In this paper, we propose an acceleration technique of the adaptive filtering scheme called adaptive proximal forward-backward splitting method. For accelerating the convergence ...
CORR
2008
Springer
14 years 11 months ago
2008
Springer
The two major approaches to sparse recovery are L1-minimization and greedy methods. Recently, Needell and Vershynin developed Regularized Orthogonal Matching Pursuit (ROMP) that ha...
65
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ISBI
2009
IEEE
15 years 6 months ago
2009
IEEE
Compressive sensing is the reconstruction of sparse images or signals from very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can ...
106
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CORR
2011
Springer
14 years 3 months ago
2011
Springer
We analyze the Synchrosqueezing transform, a consistent and invertible time-frequency analysis tool that can identify and extract oscillating components (of time-varying frequency...