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

Block Diagram Reduction01:22

Block Diagram Reduction

335
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
335
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

542
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
542
Source Transformation for AC Circuits01:11

Source Transformation for AC Circuits

778
The process of source transformation in the frequency domain entails the conversion of a voltage source, positioned in series with an impedance, into a current source that is parallel to an impedance, or the other way around. It is essential to maintain the following relationships while transitioning from one source type to another.
778
Phasor Arithmetics01:13

Phasor Arithmetics

474
Phasors and their corresponding sinusoids are interrelated, offering unique insights into the behavior of alternating current (AC) circuits. One way to understand this relationship is through the operations of differentiation and integration in both the time and phasor domains.
When the derivative of a sinusoid is taken in the time domain, it transforms into its corresponding phasor multiplied by j-omega (jω) in the phasor domain, where j is the imaginary unit, and ω is the angular...
474
Relation between Mathematical Equations and Block Diagrams01:20

Relation between Mathematical Equations and Block Diagrams

2.3K
In a spring-mass-damper system, the second-order differential equation describes the dynamic behavior of the system. When transformed into the Laplace domain under zero initial conditions, this equation can be effectively analyzed and manipulated. The transformation into the Laplace domain converts differential equations into algebraic equations, simplifying the process of isolating the output.
2.3K
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

6.1K
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,...
6.1K

You might also read

Related Articles

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

Sort by
Same author

Selectively encapsulated and dry-fabricated sandwich-type patch: CO<sub>2</sub>/ClO<sub>2</sub> differentiated dual-gas release for multi-dimensional preservation of purple cabbage.

Food chemistry·2026
Same author

Ligand-Orchestrated Burst Nucleation Enables Ultrasmall Phase-Pure High-Entropy Nanoalloys with Active-Armor Interfaces.

Journal of the American Chemical Society·2026
Same author

A dual-mode MOF sensor for Al<sup>3+</sup> detection based on ratiometric fluorescence red-shift and portable hydrogel and smartphone-based analysis.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Spin Texture Control and Magnetic Gap Engineering in a Ferromagnetic Insulator-Topological Insulator Sandwiched Heterostructure.

ACS applied materials & interfaces·2026
Same author

A flexible concentric coupled re-entrant-star composite structure with enhancing negative Poisson's ratio and mechanical strength.

Soft matter·2026
Same author

Reverse hydrogen spillover accelerates electrocatalytic nitrate reduction to ammonia on Ru/WO<sub>3-x</sub> in acidic media.

Nature communications·2026

Related Experiment Video

Updated: Oct 22, 2025

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.0K

Source Symbol Purging-Based Distributed Conditional Arithmetic Coding.

Jingjian Li1, Wei Wang1, Hong Mo1

  • 1School of Information Science and Engineering, Yunnan University, Kunming 650106, China.

Entropy (Basel, Switzerland)
|August 27, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel distributed arithmetic coding algorithm that purges source symbols to enhance coding performance for the asymmetric Slepian-Wolf problem, achieving better decoding results.

Keywords:
arithmetic codingcontext modeldistributed source codingpurging

More Related Videos

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.8K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

849

Related Experiment Videos

Last Updated: Oct 22, 2025

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

2.0K
Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
08:21

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

Published on: April 13, 2022

2.8K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

849

Area of Science:

  • Information Theory
  • Data Compression
  • Coding Theory

Background:

  • The asymmetric Slepian-Wolf problem addresses distributed source coding where one decoder has access to side information correlated with the source.
  • Traditional distributed arithmetic coding methods may not fully exploit correlations within the source sequence or between source and side information.

Purpose of the Study:

  • To propose a novel distributed arithmetic coding algorithm that improves coding performance by leveraging both intra-source and source-side information correlations.
  • To address the limitations of existing methods in utilizing contextual information for enhanced compression and decoding.

Main Methods:

  • A distributed arithmetic coding algorithm is developed, incorporating source symbol purging and a context model.
  • An improved posterior probability calculation method is introduced, utilizing the purging feature for enhanced decoder performance.
  • A forbidden symbol is added during encoding to improve error resilience at the decoder.

Main Results:

  • The proposed scheme achieves shorter codeword lengths by purging source symbols, while still using them for context.
  • Simulation results demonstrate lower encoding complexity and reduced minimum code rates for lossless decoding compared to traditional methods.
  • The algorithm shows superior decoding performance under identical code rates, particularly when source internal correlation is strong.

Conclusions:

  • The proposed distributed arithmetic coding algorithm effectively enhances coding performance by exploiting symbol correlations and employing a symbol purging strategy.
  • The method offers advantages in terms of encoding complexity, code rate requirements, and decoding accuracy, especially for highly correlated sources.
  • This approach provides a significant improvement for solving the asymmetric Slepian-Wolf problem in distributed source coding.