Acoustic imaging using under-determined inverse approaches: Frequency limitations and optimal regularization
✍ Scribed by Q. Leclère
- Book ID
- 104033612
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 970 KB
- Volume
- 321
- Category
- Article
- ISSN
- 0022-460X
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✦ Synopsis
This paper presents an acoustic imaging technique based on an under-determined inverse approach. The principle is to quantify an elementary source distribution on a source surface from acoustic pressure measurements. The acoustic transfer system between elementary sources and microphone positions, very under-determined, is then reduced to a square system using singular value decomposition. The high frequency limitation of this method is studied, as well as the regularization techniques that have to be used at low frequency. A Monte-Carlo simulation is carried out to compare the efficiency of generalized cross validation and L-curve validation to choose the Tikhonov regularization parameter. A combined validation criterion is finally proposed to take advantage of both approaches.