Spectrum reconstruction method based on micro-nano structure optical filter modulation and sparse matrix transformation

Abstract

The invention provides a spectrum reconstruction method based on micro-nano structure optical filter array modulation and sparse matrix transformation. The method comprises the implementation steps: a micro-nano structure optical filter array is constructed; the transmission spectrum of each micro-nano structure optical filter is measured; discrete point sampling is carried out on the transmission spectrum of each micro-nano structure optical filter; the intensity of transmission light passing through each micro-nano structure optical filter is measured; a matrix equation is constructed; discrete cosine transform is carried out on the matrix equation; sparse transformation is carried out on the discrete cosine transformation matrix equation; and a spectrum reconstruction result is obtained. According to the method, the problem that in the prior art, the noise error is not processed, the obtained reconstructed spectrum is still influenced by the noise error is solved, meanwhile, the root-mean-square error of the reconstructed spectrum is effectively reduced, and simulation results show that the method effectively improves the precision of spectrum reconstruction.

Description

technical field [0001] The invention belongs to the technical field of optical information processing, and relates to a spectrum reconstruction method, in particular to a spectrum reconstruction method based on micro-nano structure filter array modulation and sparse matrix transformation, which can be used for spectrum analysis and spectrum measurement. Background technique [0002] The difference in the movement of electrons in the atoms of different substances causes the difference in their emitted light spectrum, so the spectrum can well reflect the nature of the substance itself, so the spectrum plays an important role in many fields of modern science. Spectrometer is the basic equipment for spectral analysis and spectral measurement, and it has a wide range of applications in material analysis, light source characteristic analysis and biosensing. At present, most of the existing spectrometers use prisms, gratings, or interferometers to split the light using light interf...

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Problems solved by technology

However, since this method does not deal with the noise error, the obtained reconstructed spectrum will still be affected by the noise error, resulting in low accuracy of the reconstructed spectrum

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