13 search results - page 1 / 3 » An unsupervised algorithm for hybrid morphological signal de... |
94
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
The main contribution presented here is an adaptive/unsupervised iterative thresholding algorithm for sparse representation of signals which can be modeled as the sum of two compo...
107
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CSE
2010
IEEE
14 years 10 months ago
2010
IEEE
Morphological Component Analysis (MCA) of signals and images is an ambitious and important goal in signal processing; successful methods for MCA have many far-reaching application...
ICA
2010
Springer
14 years 8 months ago
2010
Springer
We propose combining supervised and unsupervised algorithms in order to improve the performance of multiple-input multipleoutputdigitalcommunication systemswhich makeuseofdecision-...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
Analysis and design of ltered-x adaptive algorithms are conventionally done by assuming that the transfer function in the secondary path is a discrete-time system. However, in rea...
123
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CEC
2010
IEEE
14 years 5 months ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...