Recovery of continuous quantities from discrete and binary data with applications to neural data
We consider three problems, motivated by questions in computational neuroscience, related to recovering continuous quantities from binary or discrete data or measurements in the context of sparse structure. First, we show that it is possible to recover the norms of sparse vectors given one-bit compr...
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| Format: | Others |
| Language: | en |
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2015
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| Online Access: | http://hdl.handle.net/2152/28424 |