1582 search results - page 23 / 317 » On sparse signal representations |
ICASSP
2010
IEEE
15 years 14 hour ago
2010
IEEE
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
ICA
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Separation of underdetermined mixtures is an important problem in signal processing that has attracted a great deal of attention over the years. Prior knowledge is requir...
102
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ICIP
2009
IEEE
16 years 26 days ago
2009
IEEE
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...
104
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
105
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ICA
2007
Springer
15 years 3 months ago
2007
Springer
Non-negative spectrogram factorization has been proposed for single-channel source separation tasks. These methods operate on the magnitude or power spectrogram of the input mixtur...