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Titlebook: Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces; Jeremy Holleman,Fan Zhang,Brian Otis Book 2011 Springer Science+

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發(fā)表于 2025-3-21 16:07:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces
編輯Jeremy Holleman,Fan Zhang,Brian Otis
視頻videohttp://file.papertrans.cn/941/940397/940397.mp4
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
圖書封面Titlebook: Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces;  Jeremy Holleman,Fan Zhang,Brian Otis Book 2011 Springer Science+
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
關鍵詞Circuit Design; Circuits and Systems; Embedded Systems; Low-Noise Amplifiers; Low-Power Analog Circuits;
版次1
doihttps://doi.org/10.1007/978-1-4419-6727-5
isbn_softcover978-1-4899-9370-0
isbn_ebook978-1-4419-6727-5
copyrightSpringer Science+Business Media, LLC 2011
The information of publication is updating

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發(fā)表于 2025-3-21 21:43:30 | 只看該作者
Jeremy Holleman,Fan Zhang,Brian Otislast two decades is described. Robustness of speech recognition systems toward language variation is the recent trend of research in speech recognition technology. To develop a system which can communicate with human being in any language like any other human being is the foremost requirement of any
板凳
發(fā)表于 2025-3-22 03:44:45 | 只看該作者
Jeremy Holleman,Fan Zhang,Brian Otisdichtet und weltweite Wirksamkeit erlangt, da? man heute vielfach eine moderne, in steter Wandlung begriffene ?Linguistik‘ der traditionellen (bei uns fast ausschlie?lich historisch orientierten) ?Sprachwissenschaft‘ gegenüberstellt. Da waren zun?chst die um Exaktheit bemühten strukturellen Ans?tze
地板
發(fā)表于 2025-3-22 07:36:27 | 只看該作者
Jeremy Holleman,Fan Zhang,Brian Otishallenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed des
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發(fā)表于 2025-3-22 13:42:13 | 只看該作者
Jeremy Holleman,Fan Zhang,Brian OtisGenerierung) grammatischer Strukturen hin zur Problematik der Beschr?nkung generierender Regeloder Repr?sentationssysteme. Das Problem ist nicht mehr, einen Apparat zu entwerfen, der alle m?glichen Strukturen einer Sprache erzeugen kann, sondern jene Beschr?nkungen zu finden, die die Klasse der natü
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發(fā)表于 2025-3-22 19:55:33 | 只看該作者
Jeremy Holleman,Fan Zhang,Brian Otisls spezifische Charakteristiken einer Sprache oder einer Gruppe historisch verwandter Sprachen. Phonemsysteme als Gesamtsysteme, wie die im vorhergehenden Kapitel dargestellten, geben die maximale Anzahl der kleinsten distinktiven Einheiten an. Diese Zahl kann — und dies ist der h?ufigste Fall — in
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