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Updated: Apr 6, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Method for computing the optimal signal distribution and channel capacity.

E G Shapiro, D A Shapiro, S K Turitsyn

    Optics Express
    |July 21, 2015
    PubMed
    Summary
    This summary is machine-generated.

    A novel iterative method enhances channel capacity computation for discrete and continuous channels. This approach proves efficient, especially for channels with unknown input alphabets, outperforming the Blahut-Arimoto algorithm.

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    Area of Science:

    • Information Theory
    • Digital Communications

    Background:

    • Calculating channel capacity is crucial for understanding information transmission limits.
    • Existing methods like the Blahut-Arimoto algorithm have limitations, particularly for certain channel types.

    Purpose of the Study:

    • To introduce a new iterative method for computing channel capacity.
    • To evaluate the efficiency of this new method against established algorithms.
    • To develop a hybrid approach combining iterative and classical methods.

    Main Methods:

    • An iterative algorithm for channel capacity calculation.
    • Comparative analysis with the Blahut-Arimoto algorithm.
    • Development of a hybrid iterative-Blahut-Arimoto method.

    Main Results:

    • The proposed iterative method demonstrates superior efficiency for various channels.
    • The new method is particularly effective for channels with a priori unknown discrete input alphabets.
    • The hybrid method successfully integrates the strengths of both approaches.

    Conclusions:

    • The novel iterative method offers an efficient alternative for channel capacity computation.
    • This method provides significant advantages for channels with unknown input characteristics.
    • The hybrid approach presents a robust solution for diverse channel scenarios.