Mixer Design For Variability
Abstract
This chapter discusses the process variation effect on the mixer performance. Analytical equations are dervied to provide the theoretical insight. Monte Carlo simulation results are shown to demonstrate the statistical variation. The substrate bias technique helps reduce the process variation effect on the mixer performance fluctuation.
Publication Date
1-1-2016
Publication Title
SpringerBriefs in Applied Sciences and Technology
Issue
9789811008825
Number of Pages
99-106
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-981-10-0884-9_10
Copyright Status
Unknown
Socpus ID
85027677529 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85027677529
STARS Citation
Yuan, Jiann Shiun, "Mixer Design For Variability" (2016). Scopus Export 2015-2019. 3910.
https://stars.library.ucf.edu/scopus2015/3910