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

Coordination Number and Geometry02:57

Coordination Number and Geometry

19.0K
For transition metal complexes, the coordination number determines the geometry around the central metal ion. Table 1 compares coordination numbers to molecular geometry. The most common structures of the complexes in coordination compounds are octahedral, tetrahedral, and square planar.
19.0K
Coordination Compounds and Nomenclature02:54

Coordination Compounds and Nomenclature

26.8K
In most main group element compounds, the valence electrons of the isolated atoms combine to form chemical bonds that satisfy the octet rule. For instance, the four valence electrons of carbon overlap with electrons from four hydrogen atoms to form CH4. The one valence electron leaves sodium and adds to the seven valence electrons of chlorine to form the ionic formula unit NaCl (Figure 1a). Transition metals do not normally bond in this fashion. They primarily form coordinate covalent bonds, a...
26.8K
Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

11.6K
The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
11.6K
Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Equations of Motion: Rectangular Coordinates and Cylindrical Coordinates01:21

Equations of Motion: Rectangular Coordinates and Cylindrical Coordinates

777
Understanding the motion of particles is a fundamental aspect of classical mechanics, and the choice of the coordinate system plays a pivotal role in unraveling the complexities of their dynamics.
When a particle moves relative to an inertial frame, the equations of motion can be expressed using rectangular components. If the motion is confined to the x-y plane, the equations having the x and y coordinates only can be used to simplify the mathematical representation.
However, when particles...
777

You might also read

Related Articles

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

Sort by
Same author

MonSter++: Unified Stereo Matching, Multi-View Stereo, and Real-Time Stereo With Monodepth Priors.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Spatial-Temporal Self-Compensating Graph Convolutional Network for Skeleton-Based Action Recognition Under Data Constraints.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Multimodal detection of microplastics in human kidney stones and multi-omics exploration of renal cell metaflammation.

Journal of hazardous materials·2026
Same author

Long&short Exposures Guided Diffusion Model for Realistic Local Motion Deblurring.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

HiTMM: Generative Temporal Masked Modeling of Human Interactive Motions.

IEEE transactions on visualization and computer graphics·2026
Same author

MoFTSS: Motion Generation With Frequency and Text State Space Models.

IEEE transactions on neural networks and learning systems·2026

Related Experiment Video

Updated: Feb 5, 2026

Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
14:13

Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing

Published on: May 6, 2014

18.8K

Interpreting and Extending the Guided Filter via Cyclic Coordinate Descent.

Longquan Dai, Mengke Yuan, Liang Tang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 18, 2018
    PubMed
    Summary

    This study reveals the guided filter (GF) as a least-squares optimization solver. This finding enables the development of new GF-like filters and rolling filtering schemes for advanced image processing applications.

    More Related Videos

    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs
    07:51

    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs

    Published on: May 21, 2019

    7.8K
    Constructing Cyclic Peptides Using an On-Tether Sulfonium Center
    07:11

    Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

    Published on: September 28, 2022

    3.2K

    Related Experiment Videos

    Last Updated: Feb 5, 2026

    Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing
    14:13

    Coordinate Mapping of Hyolaryngeal Mechanics in Swallowing

    Published on: May 6, 2014

    18.8K
    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs
    07:51

    Standardized Hemorrhagic Shock Induction Guided by Cerebral Oximetry and Extended Hemodynamic Monitoring in Pigs

    Published on: May 21, 2019

    7.8K
    Constructing Cyclic Peptides Using an On-Tether Sulfonium Center
    07:11

    Constructing Cyclic Peptides Using an On-Tether Sulfonium Center

    Published on: September 28, 2022

    3.2K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Optimization

    Background:

    • The guided filter (GF) is a prevalent smoothing technique in image processing.
    • The mathematical link between GF and least-squares optimization remains underexplored.

    Purpose of the Study:

    • To interpret the guided filter as a solver for a least-squares objective function.
    • To propose novel GF-like filters and rolling filtering schemes based on this interpretation.

    Main Methods:

    • Interpreting the guided filter as a cyclic coordinate descent (CCD) solver.
    • Modifying the least-squares objective function to derive new filters.
    • Leveraging the CCD iterative procedure to develop rolling filtering schemes.

    Main Results:

    • The guided filter is mathematically equivalent to the CCD solver of a specific least-squares problem.
    • New filters and rolling filtering schemes inspired by GF have been developed.
    • Proposed methods achieve state-of-the-art results in experiments.

    Conclusions:

    • The study establishes a novel mathematical foundation for the guided filter.
    • This work provides a systematic approach for designing generalized GF-like filters and advanced rolling filtering techniques.
    • The proposed methods offer improved performance for various image processing tasks.