An adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording
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: 2014شناسه الکترونیک: 10.1109/ICOSP.2014.7015248
کلیدواژه(گان): fuzzy set theory,particle swarm optimisation,pattern classification,pattern clustering,convergence speed,global search,initial clustering center optimisation,intuitionistic fuzzy kernel clustering,local optimum,particle swarm optimization,particle swarm-based intuitionistic fuzzy kernel c-means clustering algorithm,pattern classification,Algorithm design and analysis,Classification algorithms,Clustering algorithms,Kernel,Particle swarm optimization,Prototypes,Vectors,Fuzzy Ker
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An adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording
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| date accessioned | 2020-03-12T20:21:53Z | |
| date available | 2020-03-12T20:21:53Z | |
| date issued | 2014 | |
| identifier other | 6865652.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1011815 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8134444 | |
| subject keywords | fuzzy set theory | |
| subject keywords | particle swarm optimisation | |
| subject keywords | pattern classification | |
| subject keywords | pattern clustering | |
| subject keywords | convergence speed | |
| subject keywords | global search | |
| subject keywords | initial clustering center optimisation | |
| subject keywords | intuitionistic fuzzy kernel clustering | |
| subject keywords | local optimum | |
| subject keywords | particle swarm optimization | |
| subject keywords | particle swarm-based intuitionistic fuzzy kernel c-means clustering algorithm | |
| subject keywords | pattern classification | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Classification algorithms | |
| subject keywords | Clustering algorithms | |
| subject keywords | Kernel | |
| subject keywords | Particle swarm optimization | |
| subject keywords | Prototypes | |
| subject keywords | Vectors | |
| subject keywords | Fuzzy Ker | |
| identifier doi | 10.1109/ICOSP.2014.7015248 | |
| journal title | ircuits and Systems (ISCAS), 2014 IEEE International Symposium on | |
| filesize | 586446 | |
| citations | 0 | |
| contributor rawauthor | Lirong Zheng , Leene, L.B. , Yan Liu , Constandinou, T.G. |