Related Experiment Video
Updated: Feb 28, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
Published on: July 19, 2016
Wavelet transforms on Gelfand-Shilov spaces and concrete examples.
Naohiro Fukuda1, Tamotu Kinoshita2, Kazuhisa Yoshino2
1Matsue College, National Institute of Technology, Matsue, Shimane 690-8518 Japan.
This study examines wavelet transform continuity in Gelfand-Shilov spaces using vanishing moments. Researchers computed Fourier and wavelet transforms for specific functions within these spaces.
Area of Science:
- Mathematical Analysis
- Harmonic Analysis
- Functional Analysis
Background:
- Gelfand-Shilov spaces are crucial in distribution theory and signal processing.
- Wavelet transforms offer time-frequency analysis, essential for signal and image processing.
- Continuity properties are fundamental for the theoretical underpinnings of transform methods.
Purpose of the Study:
- To investigate the continuity properties of wavelet transforms within Gelfand-Shilov spaces.
- To analyze the impact of vanishing moment conditions on these properties.
- To compute and demonstrate Fourier and wavelet transforms for concrete functions in these spaces.
Main Methods:
- Application of vanishing moment conditions to wavelet transforms.
- Analysis of function spaces, specifically Gelfand-Shilov spaces.
- Computation of Fourier transforms and wavelet transforms for selected functions.
Main Results:
- Established continuity properties of wavelet transforms in Gelfand-Shilov spaces.
- Demonstrated the role of vanishing moments in characterizing transform behavior.
- Provided explicit calculations of Fourier and wavelet transforms for functions within these specialized spaces.
Conclusions:
- The study confirms the applicability and behavior of wavelet transforms in Gelfand-Shilov spaces.
- Vanishing moment conditions are key factors influencing continuity.
- The computed examples validate the theoretical findings and offer practical insights.
Related Concept Videos
Transformations of Functions III
Convergence of Fourier Series
The Gibbs phenomenon refers to the persistent oscillations and overshoots that occur near discontinuities...
Basic signals of Fourier Transform
The sinc function, defined as sinc(x) = sin(πx)/(πx), is particularly notable for its symmetry and behavior at...
Properties of Fourier Transform II
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...
Properties of Fourier series II
A function f(t) is...
Discrete Fourier Transform

