Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Properties of DTFT I01:24

Properties of DTFT I

668
In signal processing, Discrete-Time Fourier Transforms (DTFTs) play a critical role in analyzing discrete-time signals in the frequency domain. Various properties of the DTFTs such as linearity, time-shifting, frequency-shifting, time reversal, conjugation, and time scaling help understand and manipulate these signals for different applications.
The linearity property of DTFTs is fundamental. If two discrete-time signals are multiplied by constants a and b respectively, and then combined to...
668
Discrete Fourier Transform01:15

Discrete Fourier Transform

706
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
706

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

An Overview and Perspectives on the Materials Genome Initiative-Based Asphalt Mix Design Framework.

Materials (Basel, Switzerland)·2026
Same author

A Meta-analysis of the intervention effects of ball sports on children with autism Spectrum disorder.

Acta psychologica·2026
Same author

Feasibility and short-term outcomes of curative esophagectomy in octogenarian patients with esophageal cancer: a real-world retrospective study.

BMC geriatrics·2026
Same author

GMCF-lite for lightweight and interpretable traffic sign classification via gated mamba-CNN fusion.

Scientific reports·2026
Same author

High-Electron-Insulating Li<b><sub>2</sub></b>O-Assisted Li<b><sub>3</sub></b>N for Highly Stable SEI Formation in High-Performance Li-S Batteries.

Inorganic chemistry·2026
Same author

Community-aware biased random walks for community detection in attribute networks.

Scientific reports·2026

Related Experiment Video

Updated: Dec 14, 2025

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.5K

Adaptive carrier fringe pattern enhancement for wavelet transform profilometry through modifying intrinsic time-scale

Hanxiao Wang, Yinghao Miao, Hailu Yang

    Applied Optics
    |July 17, 2020
    PubMed
    Summary

    This study introduces an adaptive method to enhance optical fringe patterns for wavelet transform profilometry (WTP). The technique improves accuracy by reducing noise and uneven illumination, boosting WTP

    More Related Videos

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.0K
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.9K

    Related Experiment Videos

    Last Updated: Dec 14, 2025

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    43.5K
    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.0K
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    25.9K

    Area of Science:

    • Optical Metrology
    • Signal Processing
    • 3D Surface Measurement

    Background:

    • Optical fringe patterns are crucial for wavelet transform profilometry (WTP).
    • Uneven illumination and noise degrade fringe pattern quality, leading to phase extraction errors.
    • Existing methods struggle with robustness and accuracy in challenging conditions.

    Purpose of the Study:

    • To propose an adaptive fringe pattern enhancement method for WTP.
    • To improve the accuracy and robustness of phase extraction in WTP.
    • To address challenges posed by noise and uneven background illumination.

    Main Methods:

    • Adaptive decomposition of fringe patterns using a modified intrinsic time-scale decomposition (MITD) algorithm.
    • Automatic grouping of background, carrier signal, and noise using weighted-permutation entropy (WPE) and fuzzy gray correlation analysis (FGCA).
    • Phase extraction from the enhanced carrier signal via direct wavelet ridge detection.

    Main Results:

    • The MITD algorithm effectively decomposes fringe patterns, overcoming mode mixing.
    • The proposed grouping strategy successfully separates noise, background, and carrier signals.
    • Enhanced fringe patterns lead to accurate phase information extraction.

    Conclusions:

    • The adaptive enhancement method significantly improves WTP performance.
    • The technique demonstrates effectiveness and robustness in both simulations and experiments.
    • This approach offers a reliable solution for accurate 3D surface measurement using WTP.