Haystack syndrome avoidance on massive correlation for probe vs. E-test data through the concurrent use of tree base models and trellis graphics. Application on sub-micron mix-signal product for the determination of the best process conditions for yield maximisation

التفاصيل البيبلوغرافية
العنوان: Haystack syndrome avoidance on massive correlation for probe vs. E-test data through the concurrent use of tree base models and trellis graphics. Application on sub-micron mix-signal product for the determination of the best process conditions for yield maximisation
المؤلفون: Ortega, C., Ignacio Alonso, J., Sobrino, E., Bonal, J.
المصدر: 10th Annual IEEE/SEMI. Advanced Semiconductor Manufacturing Conference and Workshop. ASMC 99 Proceedings (Cat. No.99CH36295) Semiconductor manufacturing 99 Advanced Semiconductor Manufacturing Conference and Workshop, 1999 IEEE/SEMI. :76-79 1999
Relation: 1999 IEEE/SEMI Advanced Semiconductor Manufacturing Conference and Workshop. ASMC 99 Proceedings
قاعدة البيانات: IEEE Xplore Digital Library
الوصف
ردمك:0780352173
9780780352179
تدمد:10788743
DOI:10.1109/ASMC.1999.798185