Time Encoding of Sparse Signals with Flexible Filters
Author:
Affiliation:
1. Imperial College London,Department of Electrical and Electronic Engineering,London,U.K.,SW7 2AZ
Funder
UK Research and Innovation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10301194/10301195/10301387.pdf?arnumber=10301387
Reference27 articles.
1. Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
2. Perfect Recovery and Sensitivity Analysis of Time Encoded Bandlimited Signals
3. Sampling based on timing: Time encoding machines on shift-invariant subspaces
4. A Novel Reconstruction Framework for Time-Encoded Signals with Integrate-and-Fire Neurons
5. When de Prony Met Leonardo: An Automatic Algorithm for Chemical Element Extraction From Macro X-Ray Fluorescence Data
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