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Related Concept Videos

Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...
Properties of the z-Transform I01:17

Properties of the z-Transform I

The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
Transformations of Functions II01:29

Transformations of Functions II

Transformations in mathematics alter the position or orientation of a function’s graph while preserving its fundamental shape. One important type of transformation is the horizontal shift, which involves modifying the input variable within a function’s equation. This operation affects where outputs occur along the horizontal axis but does not alter the function’s overall structure.A horizontal shift is achieved by replacing the input variable x with either x + c or x - c, where c is a constant.
Properties of Fourier Transform II01:24

Properties of Fourier Transform II

The Fourier Transform (FT) is an essential mathematical tool in signal processing, transforming a time-domain signal into its frequency-domain representation. This transformation elucidates the relationship between time and frequency domains through several properties, each revealing unique aspects of signal behavior.
The Frequency Shifting property of Fourier Transforms highlights that a shift in the frequency domain corresponds to a phase shift in the time domain. Mathematically, if x(t) has...
Gyroscope01:02

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A gyroscope is defined as a spinning disk in which the axis of rotation is free to assume any orientation. When spinning, the orientation of the spin axis is unaffected by the orientation of the body that encloses it. The body or vehicle enclosing the gyroscope can be moved from place to place, while the orientation of the spin axis remains the same. This makes gyroscopes very useful in navigation, especially where magnetic compasses cannot be used, such as in crewed and crewless spacecraft,...
Transformations of Functions I01:29

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A function's graph can be modified by changing its position or size without altering its overall shape. These transformations allow the graph to be moved across the coordinate plane while preserving its pattern and structure. One of the most common transformations is shifting, which repositions the graph without distorting it.When the output of a function is adjusted by adding or subtracting a constant, the graph shifts vertically. A positive value moves the graph upward, while a negative value...

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Related Experiment Video

Updated: Jun 22, 2026

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

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Published on: September 29, 2019

Gyrator transform: properties and applications.

José A Rodrigo, Tatiana Alieva, María L Calvo

    Optics Express
    |June 18, 2009
    PubMed
    Summary

    This study introduces the gyrator transform, a method for rotating spatial and frequency information. This optical technique has potential applications in image processing, holography, and quantum information systems.

    Area of Science:

    • Optics and Photonics
    • Quantum Information Science

    Background:

    • The gyrator transform is a mathematical operation that introduces rotation in phase planes.
    • Paraxial optics provides a framework for implementing optical transforms.

    Purpose of the Study:

    • To formulate the properties of the gyrator operation.
    • To demonstrate its applications in generating stable optical modes.

    Main Methods:

    • Formulation of gyrator operation properties.
    • Application in paraxial optical systems.
    • Demonstration of stable mode generation.

    Main Results:

    • The gyrator operation produces rotation in twisting (position-spatial frequency) phase planes.
    • The transform is feasible within paraxial optics.

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  • Stable optical modes were successfully generated using the gyrator transform.
  • Conclusions:

    • The gyrator transform is a valuable tool in optical signal processing.
    • Its applications span image processing, holography, beam characterization, mode conversion, and quantum information.
    • The transform facilitates the generation of diverse stable modes.