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Related Concept Videos

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
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Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
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Zernike polynomials as a basis for wave-front fitting in lateral shearing interferometry.

H van Brug

    Applied Optics
    |May 1, 1997
    PubMed
    Summary

    A novel method efficiently handles Zernike polynomials, enabling their use in shearography systems for wave-front fitting. This approach details polynomial calculation and computer memory representation.

    Area of Science:

    • Optics and Photonics
    • Computational Science

    Background:

    • Zernike polynomials are crucial for describing optical aberrations.
    • Efficient computation is needed for real-time optical system analysis.

    Purpose of the Study:

    • To introduce an efficient computational method for Zernike polynomials.
    • To enable the application of Zernike polynomials in shearography wave-front fitting.

    Main Methods:

    • Development of a new algorithm for Zernike polynomial computation.
    • Implementation of the method within a C++ class structure.
    • Integration into shearography systems for wave-front analysis.

    Main Results:

    • Demonstrated efficiency of the new Zernike polynomial handling method.

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  • Successful application as a basis for wave-front fitting in shearography.
  • Provided a C++ code excerpt for practical implementation.
  • Conclusions:

    • The presented method offers an efficient way to compute and utilize Zernike polynomials.
    • This facilitates advanced wave-front analysis in shearography.
    • The C++ implementation aids practical adoption in optical metrology.