Frequency mapping in dynamic light emission with wavelet transform

6533b7d0fe1ef96bd125af40

RESEARCH PRODUCT

Frequency mapping in dynamic light emission with wavelet transform

Samuel Chef Sabir Jacquir Stéphane Binczak Philippe Perdu Kevin Sanchez

subject

Engineering [ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing [SPI.NANO] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics ComputerApplications_COMPUTERSINOTHERSYSTEMS Context (language use)02 engineering and technology Integrated circuit [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing 01 natural sciences law.invention Reduction (complexity)[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing law 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Electrical and Electronic Engineering [SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics Safety Risk Reliability and Quality [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing 010302 applied physics business.industry Transistor Autocorrelation Wavelet transform Condensed Matter Physics Atomic and Molecular Physics and Optics [SPI.TRON] Engineering Sciences [physics]/Electronics Surfaces Coatings and Films Electronic Optical and Magnetic Materials Characterization (materials science)[ SPI.TRON ] Engineering Sciences [physics]/Electronics [SPI.TRON]Engineering Sciences [physics]/Electronics 020201 artificial intelligence & image processing Light emission [ SPI.NANO ] Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics Artificial intelligence business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

description

International audience; Dynamic photon emission microscopy is an e cient tool to analyse today's integrated circuit. Nevertheless, the reduction of transistor's dimensions leads to more complex acquisitions where many spots can be seen. A frequency characterization of the whole acquired area can help to have a better understanding of it. With that purpose in mind, a new methodology to draw frequency mapping of dynamic light emission acquisition is reported. It is fully automated and based on wavelet transform and autocorrelation function. Regarding the possible use in an industrial context, the suggested method can help to localize abnormal emission activity and it gives some perspectives on automatic databases comparison.

year	journal	country	edition	language
2013-11-30

https://u-bourgogne.hal.science/hal-00874178

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