Acta Optica Sinica, Volume. 30, Issue 4, 1188(2010)

Research of One-Dimensional Spectrum Compression Based on Coded Aperture

Gong Xingzhi*, Cheng Liang, and Yu Feihong
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    On the basis of studying the concept and solution of spectral compression,a kind of novel compression solution is proposed. Different from spectral compression via algorithm,our solution focuses on optical system. A coded aperture is utilized,and the coding process is snapshot,and decoding algorithm corresponding the coding form to reconstruct the spectrum is chosen. Two kinds of specific coded aperture are presented which are based on wavelet transform and deficiency matrix. Decoding reconstruction via inverse wavelet transform and gradient projection for sparse reconstruction iterative algorithm is presented. Then compressive ratio and fidelity of two kinds of coded aperture are demonstrated by comparison of the spectral simulating acquired via the real spectrometer. It is possible to reconstruct signal-specific information at the lowest sampling rate,and the general principle of coded aperture compression is summarized.

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    Gong Xingzhi, Cheng Liang, Yu Feihong. Research of One-Dimensional Spectrum Compression Based on Coded Aperture[J]. Acta Optica Sinica, 2010, 30(4): 1188

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 17, 2009

    Accepted: --

    Published Online: Apr. 20, 2010

    The Author Email: Xingzhi Gong (gongxingzhi@yahoo.com.cn)

    DOI:10.3788/aos20103004.1188

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