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

Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the other increases, and...
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next sampling...
Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other axis.
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...

You might also read

Related Articles

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

Sort by
Same author

Pressure effects on iron-based superconductor CaFe<sub>0.88</sub>Co<sub>0.12</sub>AsF.

Journal of physics. Condensed matter : an Institute of Physics journal·2019
Same author

Pressure tuning of iron-based superconductor Ca<sub>10</sub>(Pt<sub>3</sub>As<sub>8</sub>) ((Fe<sub>0.95</sub>Pt<sub>0.05</sub>)<sub>2</sub>As<sub>2</sub>)<sub>5</sub>.

Journal of physics. Condensed matter : an Institute of Physics journal·2019
Same author

[Impacts of airborne particulate matter and its components on respiratory system health].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]·2017
Same author

Superconducting fluctuation effect in CaFe0.88Co0.12AsF.

Journal of physics. Condensed matter : an Institute of Physics journal·2016
Same author

Angular dependent torque measurements on CaFe0.88Co0.12AsF.

Journal of physics. Condensed matter : an Institute of Physics journal·2016
Same author

Brucellosis control in northeast China: a long way to go.

Public health·2015
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2026

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
07:13

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Complementary-reference joint transform correlator.

Z Chen, Y Zhang, G Mu

    Applied Optics
    |October 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    A new complementary-reference joint transform correlator (CRJTC) enhances image recognition by using a complementary reference. This method is stable against light fluctuations and eliminates the need for input image normalization.

    More Related Videos

    Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
    06:51

    Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

    Published on: August 2, 2018

    Operation of the Collaborative Composite Manufacturing (CCM) System
    10:09

    Operation of the Collaborative Composite Manufacturing (CCM) System

    Published on: October 1, 2019

    Related Experiment Videos

    Last Updated: Jun 7, 2026

    Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
    07:13

    Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

    Published on: October 27, 2023

    Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy
    06:51

    Confocal Microscopy Reveals Cell Surface Receptor Aggregation Through Image Correlation Spectroscopy

    Published on: August 2, 2018

    Operation of the Collaborative Composite Manufacturing (CCM) System
    10:09

    Operation of the Collaborative Composite Manufacturing (CCM) System

    Published on: October 1, 2019

    Area of Science:

    • Optics and Photonics
    • Image Processing
    • Pattern Recognition

    Background:

    • Joint transform correlators (JTCs) are optical systems used for pattern recognition.
    • Existing JTCs can be sensitive to variations in light intensity and may require image normalization.

    Purpose of the Study:

    • To introduce a novel input configuration for joint transform correlators.
    • To improve the robustness and efficiency of optical image recognition systems.

    Main Methods:

    • A complementary-reference joint transform correlator (CRJTC) configuration is proposed.
    • The CRJTC incorporates an additional complementary reference in the input plane.
    • Recognition is performed using a ratio criterion comparing cross-correlations with the reference and complementary reference.

    Main Results:

    • The proposed ratio criterion maximizes when the target and reference are matched.
    • The CRJTC method demonstrates stability against light-source intensity fluctuations.
    • Normalization of input images is rendered unnecessary for the CRJTC.
    • Experimental validation confirms the CRJTC's effectiveness for binary-amplitude image recognition.

    Conclusions:

    • The complementary-reference joint transform correlator (CRJTC) offers a robust approach to optical pattern recognition.
    • The CRJTC simplifies the recognition process by removing the need for image normalization.
    • This technique is particularly suitable for binary-amplitude image recognition tasks.