255 search results - page 23 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
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ICA
2010
Springer
14 years 10 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
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TIP
2008
14 years 9 months ago
2008
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
ICASSP
2009
IEEE
15 years 1 months ago
2009
IEEE
In this paper, we present two new noise variance estimation methods of OFDMA signals transmitted through an unknown multipath fading channel. We focus on blind estimation as it do...