Sparse Sequential Generalization of K-means for dictionary training on noisy signals
Noise incursion is an inherent problem in dictionary training on noisy samples. Therefore, enforcing a structural constrain on the dictionary will be useful for a stable dictionary training. Recently, a sparse dictionary with predefined sparsity has been proposed as a structural constraint. However,...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/82295 http://hdl.handle.net/10220/43516 |
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| Institution: | Nanyang Technological University |
| Language: | English |