Application of wavelet-matched filters to holographic associative memories
We propose a novel method for improving association abilities of a holographic associative memory by using wavelet-matched filtering. Based on an edge-enhancement and muitiscaling properties of the wavelet transform, a sharp correlation peak between a partial input and a stored datum can be obtained...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
1996
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/38324/ http://irep.iium.edu.my/38324/ http://irep.iium.edu.my/38324/ http://irep.iium.edu.my/38324/1/Application_of_wavelet-matched_filters_to_holographic_associative_memories.pdf |
| Summary: | We propose a novel method for improving association abilities of a holographic associative memory by using wavelet-matched filtering. Based on an edge-enhancement and muitiscaling properties of the wavelet transform, a sharp correlation peak between a partial input and a stored datum can be obtained. This leads to higher association abilities. Autoand hetero-association operations are demonstrated experimentally. |
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