找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 32908|回復(fù): 51
樓主
發(fā)表于 2025-3-21 16:07:50 | 只看該作者 |倒序?yàn)g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(guān)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

書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces影響因子(影響力)




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces影響因子(影響力)學(xué)科排名




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces網(wǎng)絡(luò)公開度




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces被引頻次




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces被引頻次學(xué)科排名




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces年度引用




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces年度引用學(xué)科排名




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces讀者反饋




書目名稱Ultra Low-Power Integrated Circuit Design for Wireless Neural Interfaces讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
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
5#
發(fā)表于 2025-3-22 12:26:13 | 只看該作者
6#
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
7#
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
8#
發(fā)表于 2025-3-23 00:14:30 | 只看該作者
9#
發(fā)表于 2025-3-23 03:49:45 | 只看該作者
10#
發(fā)表于 2025-3-23 08:28:23 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 01:33
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
孟津县| 沅陵县| 丰都县| 台中市| 徐水县| 天津市| 北京市| 苍南县| 闵行区| 晋城| 日喀则市| 东乌珠穆沁旗| 德阳市| 鹰潭市| 孙吴县| 闽侯县| 岳阳县| 措勤县| 大名县| 南丹县| 彭水| 汝阳县| 远安县| 东丽区| 扬州市| 云阳县| 名山县| 华池县| 延寿县| 都江堰市| 灵石县| 手机| 定南县| 盈江县| 科尔| 界首市| 德格县| 湛江市| 高陵县| 尼勒克县| 浑源县|