Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
10
click to vote
ISCAS
1999
IEEE
favorite
Email
discuss
report
63
views
Hardware
»
more
ISCAS 1999
»
Passive device modeling methodology using nonlinear optimization
14 years 1 months ago
Download
people.ee.duke.edu
L. A. Carastro, R. Poddar, E. Moon, Martin A. Broo
Real-time Traffic
Hardware
|
ISCAS 1999
|
claim paper
Related Content
»
Placement and routing of RF embedded passive designs in LCP substrate
»
Circuit performance oriented device optimization using BSIM3 presilicon model parameters
»
RealityBased Haptic Force Models of Buttons and Switches
»
Stiffness Analysis of Parallel Manipulators with Preloaded Passive Joints
»
Passive Synthesis of Compact FrequencyDependent Interconnect Models via Quadrature Spectra...
»
A Convex Programming Approach to Positive Real Rational Approximation
»
Development and validation of a dynamic model for regeneration of passivating baths using ...
»
Scalable and convergent multirobot passive and active sensing
»
Functionalization of microarray devices Process optimization using a multiobjective PSO an...
more »
Post Info
More Details (n/a)
Added
04 Aug 2010
Updated
04 Aug 2010
Type
Conference
Year
1999
Where
ISCAS
Authors
L. A. Carastro, R. Poddar, E. Moon, Martin A. Brooke, Nan M. Jokerst
Comments
(0)
Researcher Info
Hardware Study Group
Computer Vision