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

Signal Flow Graphs01:18

Signal Flow Graphs

843
Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
In a signal-flow graph, branches denote the system's transfer functions, while nodes represent the signals. The direction of signal flow is indicated by arrows, with the corresponding...
843
The Fluid Mosaic Model01:34

The Fluid Mosaic Model

157.4K
The fluid mosaic model was first proposed as a visual representation of research observations. The model comprises the composition and dynamics of membranes and serves as a foundation for future membrane-related studies. The model depicts the structure of the plasma membrane with a variety of components, which include phospholipids, proteins, and carbohydrates. These integral molecules are loosely bound, defining the cell’s border and providing fluidity for optimal function.
157.4K
Mason's Rule01:20

Mason's Rule

1.4K
Mason's rule is a powerful tool in control systems and signal processing. It simplifies the calculation of transfer functions from signal-flow graphs. This method leverages various elements, including loop gains, forward-path gains, and non-touching loops, to determine the transfer function efficiently.
Loop gain is determined by identifying and tracing a path from a node back to itself. This involves computing the product of branch gains along the loop. Each loop's gain is crucial for further...
1.4K
Aliasing01:18

Aliasing

945
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
945

You might also read

Related Articles

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

Sort by
Same author

A functionalization-free plasmonic hole-sphere nanogap SERS platform for reliable on-site analysis and oxide-state classification.

Nanoscale·2026
Same author

Rapid diagnosis of herbicidal activity and mode of action using spectral image analysis and machine learning.

Plant phenomics (Washington, D.C.)·2025
Same author

Unveiling NiO<sub><i>x</i></sub>/Perovskite Interfaces: Charge Transport and Device Performance in Perovskite Solar Cells.

ACS applied materials & interfaces·2025
Same author

Exploring the impedance-matching effect in terahertz reflection imaging of skin tissue.

Biomedical optics express·2024
Same author

Perovskites fabricated on textured silicon surfaces for tandem solar cells.

Communications chemistry·2023
Same author

Publisher Correction: Perovskites fabricated on textured silicon surfaces for tandem solar cells.

Communications chemistry·2023

Related Experiment Video

Updated: May 1, 2026

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

11.1K

An efficient simulation and analysis method of moiré patterns in display systems.

Seok-Joo Byun, Seok Yong Byun, Jangkyo Lee

    Optics Express
    |March 26, 2014
    PubMed
    Summary

    A new computational method accurately simulates moiré patterns quickly. This approach uses intensity profiles and point spread functions, offering a faster alternative to ray-tracing for optical analysis.

    More Related Videos

    Optimized Fabrication Procedure for High-Quality Graphene-based Moir&#233; Superlattice Devices
    11:24

    Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

    Published on: July 11, 2025

    13.9K
    Characterization of Anisotropic Leaky Mode Modulators for Holovideo
    09:36

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo

    Published on: March 19, 2016

    7.6K

    Related Experiment Videos

    Last Updated: May 1, 2026

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
    06:56

    Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

    Published on: May 23, 2017

    11.1K
    Optimized Fabrication Procedure for High-Quality Graphene-based Moir&#233; Superlattice Devices
    11:24

    Optimized Fabrication Procedure for High-Quality Graphene-based Moiré Superlattice Devices

    Published on: July 11, 2025

    13.9K
    Characterization of Anisotropic Leaky Mode Modulators for Holovideo
    09:36

    Characterization of Anisotropic Leaky Mode Modulators for Holovideo

    Published on: March 19, 2016

    7.6K

    Area of Science:

    • Optics and Photonics
    • Computational Science

    Background:

    • Moiré patterns are crucial in optical metrology and imaging.
    • Existing simulation methods like ray-tracing can be computationally intensive.

    Purpose of the Study:

    • To develop a precise and computationally efficient algorithm for moiré pattern simulation and analysis.
    • To provide a faster alternative to traditional ray-tracing methods.

    Main Methods:

    • The proposed algorithm utilizes convolution with superposition of intensity profiles and point spread functions.
    • It avoids the massive calculations inherent in ray-tracing.

    Main Results:

    • The new method demonstrates significantly faster computational times compared to ray-tracing.
    • Direct extraction of moiré pitch information from sampling data is achieved.

    Conclusions:

    • The developed algorithm offers a precise and rapid approach for moiré pattern simulation.
    • This method enhances the efficiency of optical analysis involving moiré patterns.