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

State Space Representation01:27

State Space Representation

499
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
499
Linear time-invariant Systems01:23

Linear time-invariant Systems

841
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
841
Assembly of Signaling Complexes01:30

Assembly of Signaling Complexes

6.4K
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,...
6.4K
Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

461
A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
461
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

666
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...
666
Signal and System01:26

Signal and System

1.5K
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...
1.5K

También podría leer

Artículos Relacionados

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

Ordenar por
Same author

[Scapular belt for the treatment of comminuted fractures of scapula].

Zhongguo gu shang = China journal of orthopaedics and traumatology·2010
Same author

Manipulation of ordered nanostructures of protonated polyoxometalate through covalently bonded modification.

Chemistry (Weinheim an der Bergstrasse, Germany)·2010
Same author

Developments in nonsteroidal antiandrogens targeting the androgen receptor.

ChemMedChem·2010
Same author

Dynamic presentation of immobilized ligands regulated through biomolecular recognition.

Journal of the American Chemical Society·2010
Same author

[Research on crop-weed discrimination using a field imaging spectrometer].

Guang pu xue yu guang pu fen xi = Guang pu·2010
Same author

A palladium/copper bimetallic catalytic system: dramatic improvement for Suzuki-Miyaura-type direct C-H arylation of azoles with arylboronic acids.

Chemistry (Weinheim an der Bergstrasse, Germany)·2010

Video Experimental Relacionado

Updated: Jan 8, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.3K

Sistema de comunicación CSMA de baja complejidad para entornos de IoT satelital basado en libretos de códigos

Wenbo Yu, Bo Liu, Jianxin Ren

    Optics express
    |December 19, 2025
    PubMed
    Resumen

    Este estudio presenta un sistema de comunicación de acceso múltiple por detección de compresión (CSMA) de baja complejidad para comunicaciones de Internet de las Cosas (IoT) satelitales. El nuevo enfoque reduce significativamente la complejidad computacional y mejora el rendimiento de la tasa de error de bits, lo que lo hace ideal para redes IoT satelitales.

    Palabras clave:
    IoT satelitalCSMAbaja complejidadtasa de error de bitsalgoritmo SL0banda Wacceso múltiple por detección de compresiónredes de comunicación

    Más Videos Relacionados

    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

    9.7K
    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

    1.1K

    Videos de Experimentos Relacionados

    Last Updated: Jan 8, 2026

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    11.3K
    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

    9.7K
    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

    1.1K

    Área de la Ciencia:

    • Sistemas de Comunicación Inalámbrica
    • Procesamiento de Señales
    • Internet de las Cosas (IoT)

    Sus antecedentes:

    • Las comunicaciones de IoT satelital enfrentan desafíos de complejidad y eficiencia.
    • El Acceso Múltiple por Código Disperso (SCMA) es una técnica prometedora pero puede ser computacionalmente intensiva.
    • Los métodos existentes como MPA y Log-MPA luchan con altas cargas computacionales en entornos dispersos.

    Objetivo del estudio:

    • Proponer un sistema de comunicación CSMA de baja complejidad para IoT satelital.
    • Reemplazar los algoritmos de codificación y decodificación SCMA tradicionales con métodos más eficientes.
    • Mejorar el rendimiento en términos de tasa de error de bits y complejidad computacional.

    Principales métodos:

    • Se desarrolló un sistema CSMA utilizando libretos de códigos dispersos no ortogonales.
    • Se implementó una matriz de medición en el transmisor, reemplazando la codificación SCMA lineal.
    • Se utilizó el algoritmo smoothed L0 (SL0) en el receptor, aprovechando la dispersión del usuario.

    Principales resultados:

    • Se alcanzaron 4.5 Gb/s en un sistema inalámbrico de banda W a 6m y 12m.
    • El algoritmo SL0 demostró un rendimiento superior de la tasa de error de bits (BER) en comparación con MPA y Log-MPA.
    • Se lograron tasas significativas de reducción de la complejidad computacional (CCRR) de hasta el 85.7% (vs. MPA) y el 72.8% (vs. Log-MPA).

    Conclusiones:

    • El sistema CSMA propuesto ofrece una solución de baja complejidad y alto rendimiento para IoT satelital.
    • El algoritmo SL0 proporciona una alternativa computacionalmente eficiente para la decodificación en escenarios de usuarios dispersos.
    • El esquema muestra un potencial sustancial para la implementación práctica en la comunicación de IoT satelital.