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» On sparse signal representations
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CISS
2010
IEEE
14 years 10 months ago
On the LASSO and Dantzig selector equivalence
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
Muhammad Salman Asif, Justin K. Romberg
183
Voted
VTS
2006
IEEE
98views Hardware» more  VTS 2006»
16 years 7 days ago
Iterative OPDD Based Signal Probability Calculation
This paper presents an improved method to accurately estimate signal probabilities using ordered partial decision diagrams (OPDDs) [Kodavarti 93] for partial representation of the...
Avijit Dutta, Nur A. Touba
ICASSP
2009
IEEE
15 years 10 months ago
Cepstral modulation ratio regression (CMRARE) parameters for audio signal analysis and classification
In this paper we propose a new set of parameters for audio signal analysis and classification. These parameters are regressions computed on the normalized modulation spectrum of h...
Rainer Martin, Anil Nagathil
ICASSP
2010
IEEE
15 years 6 months ago
Frame domain signal processing: Framework and applications
Besides basis expansions, frames representations play a key role in signal processing. We thus consider the problem of frame domain signal processing, which is more complex and ch...
Amina Chebira, Matthew Fickus, Martin Vetterli
ICDM
2007
IEEE
173views Data Mining» more  ICDM 2007»
16 years 16 days ago
Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eri...