DocumentCode :
929096
Title :
Advanced acoustic microimaging using sparse signal representation for the evaluation of microelectronic packages
Author :
Zhang, Guang-Ming ; Harvey, David Mark ; Braden, Derek R.
Author_Institution :
Gen. Eng. Res. Inst., Liverpool John Moores Univ., UK
Volume :
29
Issue :
2
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
271
Lastpage :
283
Abstract :
Acoustic microimaging (AMI) has been widely used to nondestructively evaluate microelectronic packages for the presence of internal defects. To detect defects in small devices such as μBGA, flip-chip, and chip-scale packages, high acoustic frequencies are required for the conventional AMI systems. The acoustic frequency used in practice, however, is limited by its penetration through materials. In this paper, a novel acoustic microimaging technique, which utilizes nonlinear signal processing techniques to improve the resolution and robustness of conventional AMI, is proposed and investigated. The technique is based on the concept of sparse signal representations in overcomplete time-frequency dictionaries. Simulation and experimental results show its super resolution and high robustness.
Keywords :
acoustic imaging; fault diagnosis; integrated circuit packaging; signal representation; time-frequency analysis; AMI systems; AMI technique; acoustic microimaging technique; defect detection; high acoustic frequencies; internal defects; microelectronic packages; nonlinear signal processing techniques; overcomplete dictionaries; sparse signal representation; time-frequency dictionaries; Acoustic devices; Acoustic materials; Acoustic signal detection; Ambient intelligence; Chip scale packaging; Frequency; Microelectronics; Robustness; Signal representations; Signal resolution; Acoustic microimaging (AMI); microelectronic packages; overcomplete dictionaries; sparse signal representations;
fLanguage :
English
Journal_Title :
Advanced Packaging, IEEE Transactions on
Publisher :
ieee
ISSN :
1521-3323
Type :
jour
DOI :
10.1109/TADVP.2005.853553
Filename :
1629169
Link To Document :
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