Implementation of Bi-modal Statistical Distribution into SPICE Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00315233" target="_blank" >RIV/68407700:21230/17:00315233 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/PIERS-FALL.2017.8293630" target="_blank" >http://dx.doi.org/10.1109/PIERS-FALL.2017.8293630</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIERS-FALL.2017.8293630" target="_blank" >10.1109/PIERS-FALL.2017.8293630</a>
Alternative languages
Result language
angličtina
Original language name
Implementation of Bi-modal Statistical Distribution into SPICE Models
Original language description
This paper deals with the technique of bi-modal statistical distribution modeling applicable to all standard SPICE simulators. Bi-modal statistical distribution can have several reasons, however only some of them should be implemented to the SPICE models. The paper presents some examples of bi-modal statistical distributions and the way, how to implement it to the SPICE model. The detailed model equations as well as the plots representing the simulated results are presented.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 39th PIERS in Singapore
ISBN
978-1-5386-1211-8
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
1-7
Publisher name
The Electromagnetics Academy
Place of publication
Cambridge, MA
Event location
Singapore
Event date
Nov 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428518302166