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Trigonometric Fourier series01:17

Trigonometric Fourier series

Fourier series is a foundational mathematical technique that decomposes periodic functions into an infinite series of sinusoidal harmonics. This method enables the representation of complex periodic signals as sums of simple sine and cosine functions, facilitating their analysis and interpretation in various fields, including signal processing, acoustics, and electrical engineering.
The trigonometric Fourier series specifically expresses a periodic function with a defined period T using sine...
Properties of DTFT II01:24

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In the study of discrete-time signal processing, understanding the properties of the Discrete-Time Fourier Transform (DTFT) is crucial for analyzing and manipulating signals in the frequency domain. Several properties, including frequency differentiation, convolution, accumulation, and Parseval's relation, offer powerful tools for signal analysis.
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Discrete-Time Fourier Series01:20

Discrete-Time Fourier Series

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A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
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Related Experiment Video

Updated: Jun 23, 2026

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator
08:39

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Published on: January 28, 2019

Fractional Talbot effect in phase space: A compact summation formula.

K Banaszek, K Wodkiewicz, W P Schleich

    Optics Express
    |April 21, 2009
    PubMed
    Summary

    We present a phase space description of the fractional Talbot effect. This reveals that fractional Talbot images are generated by spatially displaced Wigner functions of the source field.

    Area of Science:

    • Optics
    • Quantum mechanics
    • Diffraction phenomena

    Background:

    • The fractional Talbot effect is a complex diffraction phenomenon observed with periodic gratings.
    • Understanding its behavior in phase space offers new insights into wave propagation.

    Purpose of the Study:

    • To develop a phase space description for the fractional Talbot effect.
    • To derive a compact formula for the Wigner function at Talbot distances.

    Main Methods:

    • Utilizing the phase space formalism.
    • Applying Fresnel diffraction principles to a one-dimensional periodic grating.

    Main Results:

    • A compact summation formula for the Wigner function at rational Talbot distances was derived.

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  • The formula demonstrates that fractional Talbot images in phase space arise from a finite sum of displaced Wigner functions.
  • Conclusions:

    • The phase space approach provides a clear and concise representation of the fractional Talbot effect.
    • This formalism simplifies the understanding of image formation in fractional Talbot propagation.