Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.9K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
2.9K
Sampling Methods: Overview01:06

Sampling Methods: Overview

498
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
498
Sampling Distribution01:12

Sampling Distribution

13.6K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
13.6K
Second-order Op Amp Circuits01:19

Second-order Op Amp Circuits

422
Implementing second-order low-pass filters in audio systems is crucial in refining audio signals by eliminating undesirable high-frequency noise. These filters typically involve second-order op-amp circuits configured as voltage followers, encompassing two nodes with distinct storage elements.
The analysis of such circuits follows a systematic approach, similar to the second-order RLC circuits. In practical scenarios, bulky inductors are rarely employed due to their size and weight. This means...
422
Sampling Theorem01:15

Sampling Theorem

760
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
760
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

335
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
335

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Impact of Frontline Treatment Strategies on Outcomes in Patients With Acute Myeloid Leukemia, Myelodysplasia-Related.

Cancer reports (Hoboken, N.J.)·2026
Same author

Theoretical exploration of NIR-II circularly polarized luminescence in open-shell boron-embedded pyrene-naphthalene helicenes.

Physical chemistry chemical physics : PCCP·2026
Same author

Maternal exposure to polystyrene nanoplastics triggers ovarian injury in mice offspring: Ferroptosis mediated by the HIF-1α/HO-1 pathway.

Reproductive toxicology (Elmsford, N.Y.)·2026
Same author

An Efficient Pharmacogenomic Assay for Psychotropic Drugs by Multiplex Fluorescence Melting Curve Analysis.

Drug design, development and therapy·2026
Same author

The immune landscape of melanoma microenvironmental crosstalk.

Frontiers in immunology·2026
Same author

Challenging Pretreatment Technologies of Lignocellulosic Biomass.

Advances in biochemical engineering/biotechnology·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
Ver todos los artículos relacionados

Video Experimental Relacionado

Updated: Sep 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

Análisis de la tasa de distorsión de la codificación de fuente indirecta distribuida

Jiancheng Tang1, Qianqian Yang1

  • 1College of information Science and Electronic Engineering, Zhejiang University, Hangzhou 310007, China.

Entropy (Basel, Switzerland)
|August 28, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Este estudio aborda la codificación de fuentes indirectas distribuidas para sistemas de comunicación y aprendizaje semánticos. Los investigadores derivaron la función de distorsión de velocidad para fuentes condicionalmente independientes y desarrollaron un algoritmo de Blahut-Arimoto para el cálculo.

Palabras clave:
Algoritmo de Blahut y Arimotocodificación de fuente distribuidaTeoría de la tasa de distorsiónComunicación semánticaInformación adicional

Más Videos Relacionados

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

Videos de Experimentos Relacionados

Last Updated: Sep 10, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K
Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.5K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

Área de la Ciencia:

  • Teoría de la información
  • Sistemas distribuidos
  • Aprendizaje automático

Sus antecedentes:

  • La comunicación semántica orientada a la tarea y los sistemas de aprendizaje distribuido requieren un procesamiento eficiente de datos.
  • La codificación indirecta de fuentes distribuidas implica múltiples fuentes codificadas independientemente para un decodificador central.

Objetivo del estudio:

  • Estudiar un problema de codificación de fuente indirecta distribuida para recuperar una variable latente bajo restricciones de distorsión.
  • Para caracterizar la función de la tasa de distorsión para fuentes condicionalmente independientes dada la información lateral.

Principales métodos:

  • Derivación de la función exacta de tasa de distorsión para un caso específico de dependencia de la fuente.
  • Desarrollo de un algoritmo distribuido Blahut-Arimoto (BA) para el cálculo numérico.
  • Utilizando información lateral correlacionada en el decodificador.

Principales resultados:

  • La función exacta de tasa de distorsión se caracteriza por fuentes de información lateral condicionalmente independientes.
  • Se propone y valida un nuevo algoritmo distribuido de Blahut-Arimoto.
  • El algoritmo calcula efectivamente la región de la tasa de distorsión.

Conclusiones:

  • El marco propuesto proporciona un método para la codificación indirecta de fuentes distribuidas.
  • El algoritmo desarrollado es eficaz para calcular las funciones de tasa de distorsión en sistemas complejos.
  • Este trabajo avanza en la comunicación semántica y las capacidades de aprendizaje distribuido.