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

Nonlinear Pharmacokinetics: Causes of Nonlinearity01:22

Nonlinear Pharmacokinetics: Causes of Nonlinearity

Nonlinearity in drug pharmacokinetics is caused by various factors influencing how a drug is absorbed, distributed, metabolized, and excreted. Understanding these nonlinear processes is crucial for predicting drug behavior in the body and optimizing drug dosing regimens.
Nonlinear drug absorption can occur when the process is rate-limited by solubility, carrier-mediated transport systems, or saturation of the presystemic gut wall or hepatic metabolism. For instance, high doses of riboflavin...
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.
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the lowest drug...
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
Actor-Observer Effect01:23

Actor-Observer Effect

The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in visual...

You might also read

Related Articles

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

Sort by
Same author

A photoexcited triplet state germylene with a half-life of hours at room temperature.

Nature chemistry·2026
Same author

Use of SCORE2 in the assessment and control of cardiovascular risk in an apparently healthy individuals' cohort.

Revista clinica espanola·2025
Same author

Unrecognized volatile and semi-volatile organic compounds from brake wear.

Environmental science. Processes & impacts·2024
Same author

Intercomparison of bidirectional reflectance distribution function measurements at in- and out-of-plane geometries.

Applied optics·2023
Same author

Life-history data of a key amphipod species from three NE Atlantic estuaries under different levels of anthropogenic pressure.

Data in brief·2022
Same author

Comparing production and life-history traits of a key amphipod species within and between estuaries under different levels of anthropogenic pressure.

Marine environmental research·2021
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 8, 2026

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

Nonlinearity effects in the pure phase correlation method in multiobject scenes.

F Turon, E Ahouzi, J Campos

    Applied Optics
    |October 2, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Nonlinear phase correlation improves pattern recognition but can cause false alarms in complex scenes. Breaking scene periodicity significantly reduces these errors, enhancing reliability for multiobject identification.

    More Related Videos

    Basics of Multivariate Analysis in Neuroimaging Data
    06:35

    Basics of Multivariate Analysis in Neuroimaging Data

    Published on: July 24, 2010

    Related Experiment Videos

    Last Updated: Jun 8, 2026

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
    08:36

    Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

    Published on: March 21, 2019

    Basics of Multivariate Analysis in Neuroimaging Data
    06:35

    Basics of Multivariate Analysis in Neuroimaging Data

    Published on: July 24, 2010

    Area of Science:

    • Computer Vision
    • Image Processing
    • Pattern Recognition

    Background:

    • Nonlinear methods in pure phase correlation enhance pattern recognition capabilities.
    • Multiobject scenes introduce challenges like high-order harmonics and aliasing in the correlation plane.
    • These artifacts can lead to false alarm detections, reducing system accuracy.

    Purpose of the Study:

    • To investigate the impact of scene periodicity on the performance of pure phase correlation.
    • To identify methods for mitigating false alarms caused by nonlinear correlation artifacts.
    • To improve the robustness of pattern recognition in complex, multiobject environments.

    Main Methods:

    • Analysis of nonlinear pure phase correlation in simulated and real multiobject scenes.
    • Investigating the generation and effects of high-order harmonics and aliasing.
    • Experimentation with breaking scene periodicity through object variation and random distribution.

    Main Results:

    • Nonlinearity in pure phase correlation generates high-order harmonics in multiobject scenes.
    • These harmonics, along with aliasing, are primary causes of false alarms.
    • Breaking scene periodicity demonstrably diminishes these unwanted effects and reduces false alarms.

    Conclusions:

    • Scene periodicity is a critical factor influencing the reliability of nonlinear pure phase correlation.
    • Modifying scene characteristics, such as introducing randomness or object diversity, enhances correlation accuracy.
    • This research offers a pathway to more robust pattern recognition systems for complex visual data.