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

Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
Signal and System01:26

Signal and System

A signal x(t) is a set of data or a time function representing a variable of interest. Signals typically convey information about a phenomenon, such as atmospheric temperature, humidity, human voice, television images, a dog's bark, or birdsongs. More generally, a signal can be a function of more than one independent variable. For instance, images depend on horizontal and vertical positions and can be regarded as two-dimensional signals. However, this text will focus on one-dimensional signals...
Bacterial Signaling01:30

Bacterial Signaling

Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...

You might also read

Related Articles

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

Sort by
Same author

[Study on the target movement in external-beam partial breast irradiation with active breathing control after breast-conserving surgery].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2008
Same author

Embedded ring resonators for microphotonic applications.

Optics letters·2008
Same author

No association between epidermal growth factor and epidermal growth factor receptor polymorphisms and nasopharyngeal carcinoma.

Cancer genetics and cytogenetics·2008
Same author

Hazardous chemicals in synthetic turf materials and their bioaccessibility in digestive fluids.

Journal of exposure science & environmental epidemiology·2008
Same author

Mechanisms of microRNA deregulation in human cancer.

Cell cycle (Georgetown, Tex.)·2008
Same author

Trends in suicide by poisoning in China 2000-2006: age, gender, method, and geography.

Biomedical and environmental sciences : BES·2008
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 24, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Distributed joint source-channel coding in wireless sensor networks.

Xuqi Zhu1, Yu Liu, Lin Zhang

  • 1School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, 100876, Beijing, China; E-Mails: safiml@gmail.com (X.Z.), liuy@bupt.edu.cn (Y.L.).

Sensors (Basel, Switzerland)
|March 13, 2012
PubMed
Summary
This summary is machine-generated.

This study reviews distributed joint source-channel coding for energy-limited wireless sensor networks, offering a low-complexity, high-compression, noise-resisted solution. A practical scheme for correlated sources over independent channels shows desired efficiency.

Keywords:
broadcast channelsdistributed joint source-channel codinginformation theorymultiple access channelswireless sensor networks

Related Experiment Videos

Last Updated: May 24, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

  • Information Theory
  • Wireless Communications
  • Signal Processing

Background:

  • Wireless sensor networks (WSNs) face energy limitations and challenging channel conditions.
  • Existing coding methods often struggle to balance compression, complexity, and noise resistance.

Purpose of the Study:

  • To review advancements in distributed joint source-channel coding (DJSC) for WSNs.
  • To introduce practical DJSC deployments across various channel models.
  • To propose and evaluate a novel DJSC scheme for correlated sources.

Main Methods:

  • Comprehensive literature review of DJSC theory and practice.
  • Analysis of DJSC over independent, multiple access, and broadcast channels.
  • Development and simulation of a practical scheme for multiple correlated sources.

Main Results:

  • DJSC offers a viable solution for energy-constrained WSNs.
  • The proposed scheme demonstrates high efficiency in compressing correlated sources.
  • The review covers theoretical and practical DJSC deployments.

Conclusions:

  • DJSC is crucial for efficient and robust WSNs.
  • The presented practical scheme effectively addresses the compression of correlated data.
  • Further research in DJSC can enhance WSN performance.