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 Biomedical Signal Processing; An Analog Wavelet Fi Sandro A. P. Haddad,Wouter A. Serdijn Book 2009 Springer Science+Busines

[復(fù)制鏈接]
查看: 20489|回復(fù): 41
樓主
發(fā)表于 2025-3-21 16:53:12 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Ultra Low-Power Biomedical Signal Processing
副標(biāo)題An Analog Wavelet Fi
編輯Sandro A. P. Haddad,Wouter A. Serdijn
視頻videohttp://file.papertrans.cn/941/940395/940395.mp4
概述Offers a structured approach to filter design, starting from an arbitrary transfer function or impulse response, all the way down to the actual circuit design.Concentrates on low-power design at all t
叢書名稱Analog Circuits and Signal Processing
圖書封面Titlebook: Ultra Low-Power Biomedical Signal Processing; An Analog Wavelet Fi Sandro A. P. Haddad,Wouter A. Serdijn Book 2009 Springer Science+Busines
描述.Often WT systems employ the discrete wavelet transform, implemented on a digital signal processor. However, in ultra low-power applications such as biomedical implantable devices, it is not suitable to implement the WT by means of digital circuitry due to the relatively high power consumption associated with the required A/D converter. Low-power analog realization of the wavelet transform enables its application in vivo, e.g. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection...In .Ultra Low-Power Biomedical Signal Processing .we present a novel method for implementing signal processing based on WT in an analog way. The methodology presented focuses on the development of ultra low-power analog integrated circuits that implement the required signal processing, taking into account the limitations imposed by an implantable device..
出版日期Book 2009
關(guān)鍵詞Biomedical Signal Processing; Biomedical application; analog signal processing; biomedical; biomedical a
版次1
doihttps://doi.org/10.1007/978-1-4020-9073-8
isbn_softcover978-90-481-8061-5
isbn_ebook978-1-4020-9073-8Series ISSN 1872-082X Series E-ISSN 2197-1854
issn_series 1872-082X
copyrightSpringer Science+Business Media B.V. 2009
The information of publication is updating

書目名稱Ultra Low-Power Biomedical Signal Processing影響因子(影響力)




書目名稱Ultra Low-Power Biomedical Signal Processing影響因子(影響力)學(xué)科排名




書目名稱Ultra Low-Power Biomedical Signal Processing網(wǎng)絡(luò)公開度




書目名稱Ultra Low-Power Biomedical Signal Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Ultra Low-Power Biomedical Signal Processing被引頻次




書目名稱Ultra Low-Power Biomedical Signal Processing被引頻次學(xué)科排名




書目名稱Ultra Low-Power Biomedical Signal Processing年度引用




書目名稱Ultra Low-Power Biomedical Signal Processing年度引用學(xué)科排名




書目名稱Ultra Low-Power Biomedical Signal Processing讀者反饋




書目名稱Ultra Low-Power Biomedical Signal Processing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 21:14:56 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:54:13 | 只看該作者
Conclusions and Future Research,Chapter 8 presents the conclusions and suggestions for further research in this area.
地板
發(fā)表于 2025-3-22 05:20:52 | 只看該作者
5#
發(fā)表于 2025-3-22 11:41:46 | 只看該作者
Analog Circuits and Signal Processinghttp://image.papertrans.cn/u/image/940395.jpg
6#
發(fā)表于 2025-3-22 15:26:17 | 只看該作者
7#
發(fā)表于 2025-3-22 17:11:11 | 只看該作者
8#
發(fā)表于 2025-3-22 22:11:51 | 只看該作者
9#
發(fā)表于 2025-3-23 05:09:55 | 只看該作者
Ultra Low-Power Biomedical System Designs,velet filters. Two ultra low-power biomedical systems and four wavelet filter designs are presented in Chapter 7. The simulated and measured results demonstrate very good performance in generating the desired wavelet transform and achieving correct cardiac signal detection in an ultra low-power environment.
10#
發(fā)表于 2025-3-23 09:20:57 | 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 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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-22 18:16
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
蓬安县| 宿迁市| 绥宁县| 达日县| 奉化市| 乐陵市| 荥经县| 阿图什市| 金乡县| 苏州市| 南陵县| 全椒县| 荃湾区| 囊谦县| 郸城县| 金华市| 天镇县| 承德市| 黎平县| 广水市| 涪陵区| 大庆市| 霍州市| 黔江区| 大同县| 柘城县| 明光市| 襄城县| 平陆县| 平南县| 石城县| 昂仁县| 山东省| 澄迈县| 丹凤县| 驻马店市| 浪卡子县| 湘乡市| 堆龙德庆县| 科尔| 密山市|