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Related Experiment Video

Updated: Jun 10, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

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Published on: March 20, 2017

Nonlinearly transformed baseband filters for optical pattern recognition.

B Javidi, J Wang, C Ruiz

    Applied Optics
    |August 12, 2010
    PubMed
    Summary
    This summary is machine-generated.

    The real part of linear matched filters can be transformed nonlinearly. This process generates various filters, such as binary phase-only filters, by adjusting the nonlinearity

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    Area of Science:

    • Optics and photonics
    • Signal processing

    Background:

    • Linear matched filters are fundamental in signal detection.
    • Nonlinear transformations offer novel ways to manipulate filter characteristics.

    Purpose of the Study:

    • To explore the nonlinear transformation of the real part of linear matched filters.
    • To investigate the generation of diverse filter types through controlled nonlinearity.

    Main Methods:

    • Applying a nonlinear transformation to the real component of a linear matched filter.
    • Systematically varying the severity of the applied nonlinearity.

    Main Results:

    • The nonlinear transformation successfully modifies the filter's properties.
    • A range of filter types, including binary phase-only filters, were synthesized.
    • The severity of nonlinearity directly correlates with the resulting filter characteristics.

    Conclusions:

    • Nonlinear transformation of linear matched filters is a viable method for creating specialized filters.
    • This technique provides a flexible approach to filter design, particularly for applications requiring binary phase-only filters.