| 书目名称 | Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces | | 编辑 | Jeremy Holleman,Fan Zhang,Brian Otis | | 视频video | | | 概述 | Covers analog, radio, and signal processing theory and design for ultra low-power circuits, tied together throughout the book to form an entire system.Provides fundamental requirements of neural recor | | 图书封面 |  | | 描述 | This book will describe ultra low-power, integrated circuits and systems designed for the emerging field of neural signal recording and processing, and wireless communication. Since neural interfaces are typically implanted, their operation is highly energy-constrained. This book introduces concepts and theory that allow circuit operation approaching the fundamental limits. Design examples and measurements of real systems are provided. The book will describe circuit designs for all of the critical components of a neural recording system, including:Amplifiers which utilize new techniques to improve the trade-off between good noise performance and low power consumption.Analog and mixed-signal circuits which implement signal processing tasks specific to the neural recording application:Detection of neural spikes Extraction of features that describe the spikesClustering, a machine learning technique for sorting spikes Weak-inversion operation of analog-domain transistors, allowing processing circuits that reduce the requirements for analog-digital conversion and allow low system-level power consumption. Highly-integrated, sub-mW wireless transmitter designed for the Medical Implant Com | | 出版日期 | Book 2011 | | 关键词 | Circuit Design; Circuits and Systems; Embedded Systems; Low-Noise Amplifiers; Low-Power Analog Circuits; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4419-6727-5 | | isbn_softcover | 978-1-4899-9370-0 | | isbn_ebook | 978-1-4419-6727-5 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 16:07:50
