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

Reducing Line Loss01:18

Reducing Line Loss

429
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
429
Downsampling01:20

Downsampling

744
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
744
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

412
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
412
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

506
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
506
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

449
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
449
Shrinkage in Concrete01:27

Shrinkage in Concrete

460
Shrinkage in concrete is primarily due to water loss from evaporation, hydration of cement, or carbonation, leading to a reduction in volume. The volumetric contraction results in volumetric strain in concrete. However, in practice, shrinkage is measured as linear strain, which is one-third of the volumetric strain.
When concrete is still in its plastic state, it can undergo a decrease in volume by about 1% of its absolute volume. This decrease is known as plastic shrinkage. It arises either...
460

You might also read

Related Articles

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

Sort by
Same author

Superhydrophilic Fe<sup>IV</sup> <sub>2</sub>Mn<sup>II</sup> Nanocluster: A Combined Diagnostic and Therapeutic Agent.

Angewandte Chemie (International ed. in English)·2025
Same author

Nanozyme-Augmented Tumor Catalytic Therapy by Self-Supplied H<sub>2</sub>O<sub>2</sub> Generation.

ACS applied bio materials·2022
Same author

Ultrasound-Enhanced Generation of Reactive Oxygen Species for MRI-Guided Tumor Therapy by the Fe@Fe<sub>3</sub>O<sub>4</sub>-Based Peroxidase-Mimicking Nanozyme.

ACS applied bio materials·2022
Same author

Developmental normalization of phenomics data generated by high throughput plant phenotyping systems.

Plant methods·2020
Same author

Renal-clearable zwitterionic conjugated hollow ultrasmall Fe<sub>3</sub>O<sub>4</sub> nanoparticles for T<sub>1</sub>-weighted MR imaging in vivo.

Journal of materials chemistry. B·2020
Same author

Iridium complex nanoparticle mediated radiopharmaceutical-excited phosphorescence imaging.

Chemical communications (Cambridge, England)·2019
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Mar 11, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

6.8K

Guided Wavelet Shrinkage for Edge-Aware Smoothing.

Guang Deng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 4, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces Guided Wavelet Shrinkage (GWS), a novel edge-aware smoothing method operating in the wavelet domain. GWS offers efficient and competitive image denoising performance with linear time complexity.

    More Related Videos

    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

    43.8K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    12.0K

    Related Experiment Videos

    Last Updated: Mar 11, 2026

    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    6.8K
    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

    43.8K
    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180&#176; Curved Artery Test Section
    11:00

    Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

    Published on: July 19, 2016

    12.0K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Signal Processing

    Background:

    • Edge-aware smoothing is crucial for computer vision and graphics, with most methods focusing on the spatial domain.
    • Existing wavelet-based denoising techniques often lack the precision for effective edge preservation.

    Purpose of the Study:

    • To introduce a new edge-aware smoothing framework, Guided Wavelet Shrinkage (GWS), formulated in the wavelet domain.
    • To develop an effective and computationally efficient algorithm for image denoising and smoothing.

    Main Methods:

    • Formulated GWS as a maximum a posteriori estimation problem in the wavelet domain.
    • Utilized desirable properties in statistical models and parameters for algorithm derivation.
    • Compared GWS with classical wavelet domain denoising and evaluated different wavelet transforms, identifying the double-density dual-tree wavelet transform as optimal.

    Main Results:

    • The proposed GWS framework can be configured for self-guidance or external guidance, and operate iteratively or non-iteratively.
    • Demonstrated competitive denoising results compared to state-of-the-art algorithms.
    • Achieved O(N) computational complexity, indicating significant efficiency.

    Conclusions:

    • Guided Wavelet Shrinkage (GWS) provides a powerful and flexible approach to edge-aware smoothing in the wavelet domain.
    • The GWS algorithm offers a computationally efficient solution for image denoising, outperforming existing methods in certain aspects.