Application of spatial interpolation to calculation of power spectrum density

xu jiancheng; xu qiao; chai liqun

Volume 22 Issue 07

Jun. 2010

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xu jiancheng, xu qiao, chai liqun. Application of spatial interpolation to calculation of power spectrum density[J]. High Power Laser and Particle Beams, 2010, 22.

Citation:

xu jiancheng, xu qiao, chai liqun. Application of spatial interpolation to calculation of power spectrum density[J]. High Power Laser and Particle Beams, 2010, 22.

xu jiancheng, xu qiao, chai liqun. Application of spatial interpolation to calculation of power spectrum density[J]. High Power Laser and Particle Beams, 2010, 22.

Citation:

xu jiancheng, xu qiao, chai liqun. Application of spatial interpolation to calculation of power spectrum density[J]. High Power Laser and Particle Beams, 2010, 22.

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Application of spatial interpolation to calculation of power spectrum density

1.
Institute of Information Optics,Zhejiang Normal University,Jinhua 321004,China;
2.
Chengdu Fine Optical Engineering Research Center,Chengdu 610041,China

Publish Date: 2010-06-30

Abstract

Abstract

To improve the precision and effective spectrum width of wavefront power spectrum density(PSD) at mid-spatial scale, double linear interpolation and six-sample-wide interpolation are proposed to patch invalid points and reduce aliasing noise, respectively. Double linear interpolation reduces discrete discontinuities and retains spectral structure of the valid areas, without adding visible middle and high spatial frequency errors existing in zero-filled method. Six-sample-wide interpolation effectively separates the signal from the aliasing noise and thus increases the effective spectrum upper limit of PSD from half of Nyquist frequency to Nyquist frequency. The validity of double linear interpolation and six-sample-wide interpolation is verified by computer simulation and experiment.
- power spectrum density,
- six-sample-wide interpolation,
- double linear interpolation,
- aliasing noise

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