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Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
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Optimal unequal-interval phase encoding method for phase modulated holographic data storage.

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    Unequal interval phase encoding in holographic storage improves data discriminability. Optimized encoding schemes significantly reduce phase reconstruction errors and bit error rates (BER), enhancing holographic storage capacity and performance.

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    Area of Science:

    • Optical Engineering
    • Data Storage Technologies
    • Information Theory

    Background:

    • Phase-modulated holographic storage utilizes distinct diffraction patterns for data encoding.
    • Unequal interval phase encoding offers enhanced features for convolutional neural networks in holographic data retrieval.
    • Current encoding schemes lack systematic optimization guidelines, hindering performance improvements.

    Purpose of the Study:

    • To develop an effective method for optimizing unequal interval phase encoding in holographic storage.
    • To systematically regulate phase difference distributions for improved reconstruction performance.
    • To provide guidelines for designing high-capacity holographic storage systems.

    Main Methods:

    • Proposed an encoding design method based on phase difference interval optimization.
    • Systematically regulated phase difference distributions in encoding schemes.
    • Conducted simulations and experiments to validate the optimized encoding methods.

    Main Results:

    • Designed three-level and four-level unequal interval phase encoding methods achieving lowest phase reconstruction errors.
    • Optimal three-level encoding (0, 43, 128) reduced BER by approximately 59% compared to equal-interval encoding.
    • Optimal four-level encoding (0, 21, 85, 127) reduced BER by approximately 38% compared to equal-interval encoding.

    Conclusions:

    • The proposed phase difference interval optimization method effectively improves holographic storage reconstruction performance.
    • Optimized unequal interval phase encoding significantly reduces bit error rates, demonstrating superiority over equal-interval methods.
    • The approach is extendable to higher-level encoding, offering insights for future high-capacity holographic storage system designs.