DocumentCode :
2023323
Title :
Dimension reduction of photolithography data based on PCA
Author :
Wang, Lei ; Wang, Xiangyang ; Wan, Wanggen ; Yang, Xiaodong ; Cui, Bin
Author_Institution :
Sch. of Commun. & Inf. Eng., Shanghai Univ., Shanghai, China
fYear :
2010
fDate :
23-25 Nov. 2010
Firstpage :
1090
Lastpage :
1093
Abstract :
Embed system plays an important role in our daily life, among which SoC is a key part. With the development of SoC, the complexity of Photolithography increases sharply. Dimension reduction to assist design is very essential for the photolithography simulation in order to display large scale simulation data. In this paper, an approach to reduce data dimension of the simulation results is proposed. This system is not a photolithography simulator but a dimension reduction display system, in which simulator data source is needed. The principle applied in this system is PCA which is widely used in dimension reduction. In the system the displayed data can be controlled flexibly. The experiment results demonstrate its high efficiency.
Keywords :
embedded systems; photolithography; principal component analysis; system-on-chip; PCA; SoC; data dimension reduction; dimension reduction display system; embed system; photolithography data simulation; simulator data source; Data models; Etching; Integrated circuit modeling; Lithography; Solid modeling; System-on-a-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio Language and Image Processing (ICALIP), 2010 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-5856-1
Type :
conf
DOI :
10.1109/ICALIP.2010.5685099
Filename :
5685099
Link To Document :
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