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    This study introduces a novel method for separating signals in digital holographic interferometry by adjusting beam intensities. The technique enhances noise robustness for accurate multidimensional deformation measurements.

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    Area of Science:

    • Optics and Photonics
    • Metrology
    • Signal Processing

    Background:

    • Digital holographic interferometry (DHI) setups with multiple object illuminating beams generate complex interference fields.
    • Separating individual signal components from these multicomponent fields is crucial for accurate measurements.
    • Existing methods may face challenges in noise robustness and signal discrimination.

    Purpose of the Study:

    • To develop a new, robust method for signal separation in multicomponent interference fields recorded by DHI.
    • To improve the accuracy of multidimensional deformation measurements by effectively isolating signal components.
    • To enhance the noise robustness of the signal separation process.

    Main Methods:

    • A novel signal separation method utilizing amplitude discrimination based on varied intensities of object illuminating beams.
    • Iterative separation of signal components within small blocks of the interference field.
    • Block matrix augmentation technique for noise subspace inflation, enhancing noise robustness.

    Main Results:

    • Successful separation of multiple signal components from a multicomponent interference field.
    • Demonstrated improvement in noise robustness compared to conventional methods.
    • Validation of the method's applicability through simulations and experimental results.

    Conclusions:

    • The proposed amplitude discrimination method effectively separates signal components in DHI.
    • The technique offers enhanced noise robustness, crucial for precise deformation measurements.
    • This method is applicable for accurate multidimensional deformation analysis in various scientific and engineering fields.