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CISS
2008
IEEE
13 years 4 months ago
Measuring interference in overcomplete signal representations
Currently, there is no quantitative way to ascertain how an overcomplete signal representation describes a signal and its features using terms drawn from a dictionary. Though spars...
Bob L. Sturm, John J. Shynk, Laurent Daudet
ICASSP
2008
IEEE
13 years 11 months ago
Insights into the stable recovery of sparse solutions in overcomplete representations using network information theory
In this paper, we examine the problem of overcomplete representations and provide new insights into the problem of stable recovery of sparse solutions in noisy environments. We es...
Yuzhe Jin, Bhaskar D. Rao
HVEI
2010
13 years 6 months ago
Perceptual quality assessment of color images using adaptive signal representation
Perceptual image distortion measures can play a fundamental role in evaluating and optimizing imaging systems and image processing algorithms. Many existing measures are formulate...
Umesh Rajashekar, Zhou Wang, Eero P. Simoncelli
ICASSP
2010
IEEE
13 years 2 months ago
Speech enhancement with sparse coding in learned dictionaries
The enhancement of speech degraded by non-stationary interferers is a highly relevant and difficult task of many signal processing applications. We present a monaural speech enhan...
Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann
ICIP
2003
IEEE
14 years 6 months ago
Redundant representation with complex wavelets: how to achieve sparsity
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than critically-sampled transforms, due to their properties of sh...
Nick G. Kingsbury, Tanya Reeves