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» Mixed norms with overlapping groups as signal priors
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ICASSP
2011
IEEE
12 years 8 months ago
Mixed norms with overlapping groups as signal priors
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Ilker Bayram
ICASSP
2009
IEEE
13 years 11 months ago
Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models
We develop a framework to detect when certain sounds are present in a mixed audio signal. We focus on the regime where out of a large number of possible sounds, a small but unknow...
Youngmin Cho, Lawrence K. Saul
TIP
2010
162views more  TIP 2010»
12 years 11 months ago
Super-Resolution With Sparse Mixing Estimators
We introduce a class of inverse problem estimators computed by mixing adaptively a family of linear estimators corresponding to different priors. Sparse mixing weights are calcula...
Stéphane Mallat, Guoshen Yu
IDA
2009
Springer
13 years 11 months ago
Extension of Sparse, Adaptive Signal Decompositions to Semi-blind Audio Source Separation
Abstract. We apply sparse, fast and flexible adaptive lapped orthogonal transforms to underdetermined audio source separation using the time-frequency masking framework. This norm...
Andrew Nesbit, Emmanuel Vincent, Mark D. Plumbley
ICA
2004
Springer
13 years 10 months ago
Soft-LOST: EM on a Mixture of Oriented Lines
Robust clustering of data into overlapping linear subspaces is a common problem. Here we consider one-dimensional subspaces that cross the origin. This problem arises in blind sour...
Paul D. O'Grady, Barak A. Pearlmutter