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相关概念视频

Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

419
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
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Properties of Fourier series II01:21

Properties of Fourier series II

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Time scaling of signals is a crucial concept in signal processing that affects the Fourier series representation without altering its coefficients. The process modifies the fundamental frequency, thereby changing how the series represents the signal over time. This principle is essential in various applications, including audio and image processing, where signal manipulation is frequent. Understanding function symmetries is fundamental to simplifying the Fourier series.
A function f(t) is...
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Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

101
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
101
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

113
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
113
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

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In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
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¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

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Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
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Updated: Jul 16, 2025

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
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测量多变量相位同步与符号化和换.

Zhaohui Li1, Xinyan Wang2, Yanyu Xing2

  • 1School of Information Science and Engineering, Yanshan University, Qinhuangdao, 066004, China; Hebei Key Laboratory of information transmission and signal processing, Yanshan University, Qinhuangdao, 066004, China.

Neural networks : the official journal of the International Neural Network Society
|September 23, 2023
PubMed
概括

我们开发了一种新方法,即符号相差和变量 (SPDPE),用于测量神经网络中的全局相位同步. SPDPE准确地量化了大脑网络的相互作用,并优于现有的技术,即使有噪音数据.

关键词:
全球相位同步全球相位同步多变量神经信号多变量神经信号换算方式 换算方式 换算方式扣押分类 扣押分类 扣押分类符号表示 符号表示

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科学领域:

  • 神经科学是一个神经科学.
  • 复杂的系统复杂的系统.
  • 信号处理 信号处理

背景情况:

  • 阶段同步对于神经信息处理至关重要.
  • 现有的双变量测量无法捕捉神经系统中的全球相互作用.
  • 多变量神经信号分析需要先进的全球相位同步 (GPS) 量化.

研究的目的:

  • 引入一种新的方法,即符号相差和变量 (SPDPE),用于在神经网络中估计GPS.
  • 解决捕捉复杂神经相互作用的双变量测量方法的局限性.
  • 为多变量神经信号分析提供强大的工具.

主要方法:

  • 通过象征多变量神经信号的相差,开发了SPDPE.
  • 估计GPS使用符号序列的 permutation 模式.
  • 用模拟数据 (库拉莫托和罗斯勒模型) 和真实SEEG数据验证的SPDPE.

主要成果:

  • SPDPE准确地描述了GPS,并有效地抵抗噪音.
  • 该方法对数据长度的敏感性较低.
  • 通过使用SEEG数据,SPDPE成功地分类了扣押和非扣押.

结论:

  • SPDPE在量化全球相位同步方面取得了重大进展.
  • 该方法在脑电脑接口,大脑建模和EEG-fMRI分析中具有广泛的应用.
  • SPDPE增强了对神经网络动态和信息处理的理解.