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Entropy02:39

Entropy

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Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
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Entropy01:18

Entropy

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The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.5K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

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Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.0K
Entropy and Solvation02:05

Entropy and Solvation

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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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Entropy within the Cell01:22

Entropy within the Cell

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A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.7K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

4.8K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
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Updated: Jan 22, 2026

Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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Método de estimación de retardo temporal submarino basado en la separación de multitrayectos impulsada por la

Xuerong Cui1, Lurui Chao1, Juan Li2

  • 1College of Oceanography and Space Informatics, China University of Petroleum (East China), Qingdao, 266000, China.

The Journal of the Acoustical Society of America
|January 21, 2026
PubMed
Resumen

Este estudio presenta un nuevo método impulsado por la entropía espectral para la estimación del retardo temporal submarino. Separa eficazmente las señales multitrayecto, mejorando la precisión de la localización en entornos acústicos complejos y ruidosos.

Palabras clave:
entropía espectralestimación de retardo temporalseparación de multitrayectoslocalización submarinaprocesamiento de señales acústicas

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Área de la Ciencia:

  • Acústica
  • Procesamiento de Señales
  • Oceanografía

Sus antecedentes:

  • Los canales acústicos submarinos sufren efectos multitrayecto, que causan aliasing de señales.
  • El ruido oceánico no estacionario degrada aún más los algoritmos existentes de estimación de retardo temporal.
  • La localización submarina de alta precisión depende en gran medida de una estimación precisa del retardo temporal.

Objetivo del estudio:

  • Desarrollar un método robusto de estimación de retardo temporal para entornos submarinos complejos.
  • Abordar los problemas de aliasing de señales e interferencia de ruido.
  • Mejorar la precisión de la localización submarina.

Principales métodos:

  • Se propuso una técnica de separación de multitrayectos impulsada por la entropía espectral.
  • Se utilizó un criterio de superposición de ancho de banda impulsado por la entropía espectral para la selección de modos.
  • Se implementó un mecanismo de detección de energía en el dominio del tiempo que incorpora el gradiente de energía y la entropía de la información.

Principales resultados:

  • Se logró la selección dinámica de modos multitrayecto efectivos y el descarte de modos dominados por el ruido.
  • Se separaron con éxito señales con aliasing de tiempo y frecuencia.
  • Se demostraron mejoras significativas en la precisión de la separación de multitrayectos (52,1 % - 61,4 %) y se redujo el error cuadrático medio de la estimación del retardo temporal (36,6 % - 47,2 %) en simulaciones.

Conclusiones:

  • El método propuesto supera las limitaciones de la descomposición modal de parámetros fijos.
  • Permite la estimación de retardo temporal de alta precisión incluso en condiciones de baja relación señal/ruido.
  • Ofrece un avance teórico para la localización multitrayecto en entornos acústicos submarinos desafiantes.