Spectrum reconstruction for filter-array spectrum sensor using sparse representation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8048, Issue , 2011, Pages

  Chang, Cheng Chun ^a   Lin, Nan Ting ^a   Kurokawa, Umpei ^b   Choi, Byung Il ^b  

^a NATIONAL TAIPEI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^b Nanolambda Inc   (United States)

Author keywords

Filter array spectrum sensors; sparse representation; spectrum reconstruction

Indexed keywords

MINIATURE SPECTROMETER; MINIMIZATION ALGORITHMS; SPARSE REPRESENTATION; SPECTRUM RECONSTRUCTION; UNDER-DETERMINED;

ALGORITHMS; SPECTROMETERS; SPECTROMETRY;

SENSORS;

EID: 80052997447     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.886342     Document Type: Conference Paper

References (13)

1. Chang, C. C., Lee, H. N., "On the estimation of target spectrum for filter-array based spectrometer," Optics Express, 16, 1056-1061 (2008).
2. Kurokawa, U., Choi, B. I., and Chang, C. C., "Filter-based miniature spectrometers: spectrum reconstruction using adaptive regularization, " IEEE Sensors Journal (2011), (accepted).
3. Baritaux, J. C., Hassler, K., Unser, M., "An efficient numerical method for general Lp regularization in Fluorescence Molecular Tomography," IEEE Trans. Medical Imaging, 29(4), 1075-1087, April (2010)
4. Wright, J., Yang, A.Y., Ganesh, A., Sastry, S.S., Ma, Y., "Robust face recognition via sparse representation," IEEE Trans. Pattern Analysis and Machine Intelligence, 31(2), 210-227, Feb. (2009)
5. Vinjamuri, R., Sun M., Chang, C. C., Lee, H. N., Sclabassi, R.J., Mao, Z. H., "Dimensionality reduction in control and coordination of the human hand," IEEE Trans. Biomedical Engineering, , 57(2), 284-295, Feb. (2010).
6. Sen, S., Tang, G., Nehorai, A. , "Multiobjective optimization of OFDM radar waveform for target detection," IEEE Trans. Signal Processing, , 59(2), 639-652, Feb. (2011).
7. Park, S. C., Park, M. K., Kang, M. G., "Super-resolution image reconstruction: a technical overview," IEEE Signal Processing Magazine, 20(3), 21-36 (2003)
8. Farsiu, S., Robinson, D., Elad, M., and Milanfar, P., "Advances and challenges in super-resolution," International Journal of Imaging Systems and Technology, 14(2), 45-57 (2004)
9. Lawson, C. and Hanson, R., [Solving least squares problems], Society for Industrial Mathematics, (1987).
10. Chong, E.K.P. and Zak, S.H.,[An introduction to optimization], John Wiley and Sons (ASIA), (2001).
11. Donoho, D., Huo, X., "Uncertainty principles and ideal atomic decomposition," IEEE Trans. on Information Theory, 47(7), 2845-2862 (2001).
12. Huang, K. and Aviyente, S., "Sparse representation for signal classification," Proc. of Neural Information Processing Systems, 609-616 (2006).
13. http://www.acm.caltech.edu/l1magic.