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A Low Cost VLSI Architecture for Spike Sorting Based on Feature Extraction with Peak Search

The goal of this paper is to present a novel VLSI architecture for spike sorting with high classification accuracy, low area costs and low power consumption. A novel feature extraction algorithm with low computational complexities is proposed for the design of the architecture. In the feature extrac...

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書目詳細資料
發表在:Sensors (Basel)
Main Authors: Chang, Yuan-Jyun, Hwang, Wen-Jyi, Chen, Chih-Chang
格式: Artigo
語言:Inglês
出版: MDPI 2016
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC5191065/
https://ncbi.nlm.nih.gov/pubmed/27941631
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16122084
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