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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ip, H.M.D. Drakakis, E.M. Bharath, A.A. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Bioeng., Imperial Coll. London (Ip, H.M.D.; Drakakis, E.M.; Bharath, A.A.) |
| Abstract | We report the development of a new CNN based theoretical framework and its on-going analog VLSI implementation for continuous-time discrete-space spatiotemporal filtering. Our proposed formulation, which stems from the theory of linear cellular neural networks, is capable of realizing a wide range of linear spatiotemporal dynamics. Based on our proposed framework, 3D nonseparable spatiotemporal filters are synthesized. The filters are presented in the form of continuous-time/discrete-space mixed domain transfer functions with responses qualitatively resembling visual cortical bandpass spatiotemporal receptive fields. Analog VLSI building blocks suitable for the implementation of the required spatiotemporal dynamics are presented. Simulation results on AMS 0.35mum process parameters of a 5times5 array, with electrical parameters tuned to realize the spatiotemporal dynamics of one of our synthesized 3D bandpass filters, are presented |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 5771865 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424406390 |
| DOI | 10.1109/CNNA.2006.341624 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-28 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Very large scale integration Spatiotemporal phenomena Cellular neural networks Band pass filters Filtering Nonlinear filters Transfer functions Network synthesis Filter bank Transconductors Recursive nonseparable Spatiotemporal Filters Cellular Neural Networks Analog Signal Processing Polyphase Filters |
| Content Type | Text |
| Resource Type | Article |
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