東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Behavioral models of analog circuits.

Zheng, Wei.

Linked to FindBook

Google Book

Amazon

博客來

Behavioral models of analog circuits.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Behavioral models of analog circuits./
Author:	Zheng, Wei.
Description:	185 p.
Notes:	Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2571.
Contained By:	Dissertation Abstracts International68-04B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3257897

Behavioral models of analog circuits.
Zheng, Wei.

Behavioral models of analog circuits. - 185 p.

Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2571.

Thesis (Ph.D.)--University of Arkansas, 2007.

In the end, this method has been fully automated and a modeling tool, Ascend, has been implemented. Compared to the original circuits, the models generated have provided satisfactory speedup while maintaining high degrees of accuracy.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Behavioral models of analog circuits.
LDR:02120nam 2200253 a 45 001 940652
005 20110518
008 110518s2007 ||||||||||||||||| ||eng d
035 $a (UMI)AAI3257897
035 $a AAI3257897
040 $a UMI $c UMI
100 1 $a Zheng, Wei. $3 1260131
245 1 0 $a Behavioral models of analog circuits.
300 $a 185 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-04, Section: B, page: 2571.
502 $a Thesis (Ph.D.)--University of Arkansas, 2007.
520 $a In the end, this method has been fully automated and a modeling tool, Ascend, has been implemented. Compared to the original circuits, the models generated have provided satisfactory speedup while maintaining high degrees of accuracy.
520 $a As the complexity and performance criteria of analog and mixed-signal systems are steadily increased, behavioral modeling methods are commonly used by design engineers for rapid higher-level simulations. An innovative bottom-up approach for behavioral modeling of analog circuits was presented in the early 1990s. This modeling approach afforded a step-by-step procedure to generate accurate and simulation efficient behavioral models of the original circuits. While this method has the limit of modeling the nonlinear dynamic behavior properly, it was only applied to circuits with low or medium frequencies.
520 $a Nonlinear dynamics identification method, which identifies nodes in the large-signal time domain accounting for the nonlinear dynamic behavior of the circuit, is a key contribution of this research. By including nonlinear dynamic effects the model accuracy has an obvious improvement based on simulation results of some circuits. In this research, the algorithms are also improved and extended to model circuits at higher frequencies (with internal nodes) based on the previous approach. This is another contribution of this dissertation.
590 $a School code: 0011.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 $a University of Arkansas. $3 1017562
773 0 $t Dissertation Abstracts International $g 68-04B.
790 $a 0011
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3257897