| 期刊全称 | Brain-Machine Interface | | 期刊简称 | Circuits and Systems | | 影响因子2023 | Amir Zjajo | | 视频video | | | 发行地址 | Introduces a novel, low-power analog front-end circuits for signal conditioning and quantization and digital back-end circuits for signal detection and classification in 90-nm and 65-nm CMOS technolog | | 图书封面 |  | | 影响因子 | .This book provides a complete overview of significant design challenges in respect to circuit miniaturization and power reduction of the neural recording system, along with circuit topologies, architecture trends, and (post-silicon) circuit optimization algorithms. The introduced novel circuits for signal conditioning, quantization, and classification, as well as system configurations focus on optimized power-per-area performance, from the spatial resolution (i.e. number of channels), feasible wireless data bandwidth and information quality to the delivered power of implantable system.. | | Pindex | Book 2016 |
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发表于 2025-3-21 17:30:55
