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An adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording

date accessioned2020-03-12T20:21:53Z
date available2020-03-12T20:21:53Z
date issued2014
identifier other6865652.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1011815?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn adaptive 16/64 kHz, 9-bit SAR ADC with peak-aligned sampling for neural spike recording
typeConference Paper
contenttypeMetadata Only
identifier padid8134444
subject keywordsfuzzy set theory
subject keywordsparticle swarm optimisation
subject keywordspattern classification
subject keywordspattern clustering
subject keywordsconvergence speed
subject keywordsglobal search
subject keywordsinitial clustering center optimisation
subject keywordsintuitionistic fuzzy kernel clustering
subject keywordslocal optimum
subject keywordsparticle swarm optimization
subject keywordsparticle swarm-based intuitionistic fuzzy kernel c-means clustering algorithm
subject keywordspattern classification
subject keywordsAlgorithm design and analysis
subject keywordsClassification algorithms
subject keywordsClustering algorithms
subject keywordsKernel
subject keywordsParticle swarm optimization
subject keywordsPrototypes
subject keywordsVectors
subject keywordsFuzzy Ker
identifier doi10.1109/ICOSP.2014.7015248
journal titleircuits and Systems (ISCAS), 2014 IEEE International Symposium on
filesize586446
citations0
contributor rawauthorLirong Zheng , Leene, L.B. , Yan Liu , Constandinou, T.G.


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