語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Brain-machine interface = circuits a...
~
Zjajo, Amir.
FindBook
Google Book
Amazon
博客來
Brain-machine interface = circuits and systems /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Brain-machine interface/ by Amir Zjajo.
其他題名:
circuits and systems /
作者:
Zjajo, Amir.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xx, 163 p. :ill., digital ;24 cm.
內容註:
Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
Contained By:
Springer eBooks
標題:
Brain-computer interfaces. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-31541-6
ISBN:
9783319315416
Brain-machine interface = circuits and systems /
Zjajo, Amir.
Brain-machine interface
circuits and systems /[electronic resource] :by Amir Zjajo. - Cham :Springer International Publishing :2016. - xx, 163 p. :ill., digital ;24 cm.
Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
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.
ISBN: 9783319315416
Standard No.: 10.1007/978-3-319-31541-6doiSubjects--Topical Terms:
908299
Brain-computer interfaces.
LC Class. No.: TK7874
Dewey Class. No.: 621.3815
Brain-machine interface = circuits and systems /
LDR
:01736nmm m2200313 m 4500
001
2032705
003
DE-He213
005
20160920134755.0
006
m d
007
cr nn 008maaau
008
161011s2016 gw s 0 eng d
020
$a
9783319315416
$q
(electronic bk.)
020
$a
9783319315409
$q
(paper)
024
7
$a
10.1007/978-3-319-31541-6
$2
doi
035
$a
978-3-319-31541-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK7874
072
7
$a
TJFC
$2
bicssc
072
7
$a
TEC008010
$2
bisacsh
082
0 4
$a
621.3815
$2
23
090
$a
TK7874
$b
.Z82 2016
100
1
$a
Zjajo, Amir.
$3
2056907
245
1 0
$a
Brain-machine interface
$h
[electronic resource] :
$b
circuits and systems /
$c
by Amir Zjajo.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xx, 163 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Introduction -- Neural Signal Conditioning Circuits -- Neural Signal Quantization Circuits -- Neural Signal Classification Circuits -- Brain-Machine Interface: System Optimization -- Conclusions and Recommendations -- Appendix -- Index.
520
$a
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.
650
0
$a
Brain-computer interfaces.
$3
908299
650
0
$a
Signal processing
$x
Digital techniques.
$3
624853
650
0
$a
Neural circuitry.
$3
648394
650
0
$a
Analog CMOS integrated circuits.
$3
2133007
650
1 4
$a
Engineering.
$3
586835
650
2 4
$a
Circuits and Systems.
$3
896527
650
2 4
$a
Biomedical Engineering.
$3
720279
650
2 4
$a
Biomedical Engineering/Biotechnology.
$3
2162071
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-31541-6
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9278774
電子資源
11.線上閱覽_V
電子書
EB TK7874 .Z82 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入