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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.1K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.1K
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

5.2K
When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
5.2K
¹H NMR Signal Integration: Overview00:58

¹H NMR Signal Integration: Overview

1.6K
The intensity of a signal, which can be represented by the area under the peak, depends on the number of protons contributing to that signal. The area under each peak is shown as a vertical line called an integral, with the integral value listed under it, as seen in the proton NMR spectrum of benzyl acetate. Each integral value is divided by the smallest integral value to obtain the ratio of the number of protons producing each signal. The ratio reveals the relative number of protons and not...
1.6K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.1K
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...
1.1K
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
Echo01:06

Echo

534
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
534

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相关实验视频

Updated: Jul 18, 2025

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization USV Songs
08:44

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization USV Songs

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新的边际频谱特征信息 观看驼背的发声信号 使用EMD分析方法.

Chin-Feng Lin1, Bing-Run Wu1, Shun-Hsyung Chang2

  • 1Department of Electrical Engineering, National Taiwan Ocean University, Keelung 20224, Taiwan.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种使用实证模式分解 (EMD) 分析驼声 (HWV) 边际频谱 (MS) 特征的新方法. 这些发现为HWV信号信息和分类提供了新的见解.

关键词:
功能信息 功能信息 功能信息驼背的发音 的发音内在模式的功能是内在模式的功能.这是边际频谱的边际频谱.

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Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
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Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
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Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R

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相关实验视频

Last Updated: Jul 18, 2025

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization USV Songs
08:44

Eliciting and Analyzing Male Mouse Ultrasonic Vocalization USV Songs

Published on: May 9, 2017

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Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication
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Recording Mouse Ultrasonic Vocalizations to Evaluate Social Communication

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Semi-Automated Analysis of Peak Amplitude and Latency for Auditory Brainstem Response Waveforms Using R
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科学领域:

  • 海洋生物学 海洋生物学
  • 生物声学是一种生物声学.
  • 信号处理 信号处理

背景情况:

  • 驼背声 (HWV) 中边际频谱 (MS) 特征信息对于理解海洋哺乳动物交流具有重要意义.
  • 经验模式分解 (EMD) 是分析复杂的时频数据,包括海洋哺乳动物声音的宝贵工具.

研究的目的:

  • 使用EMD从HWV信号中提取新的MS特征信息.
  • 根据它们的光谱特征,将36个HWV样本分为三个不同的类别 (I,II,III).
  • 评估内部模式函数 (IMFs) 和残余函数 (RFs) 中的能量分布,跨不同HWV类和频段.

主要方法:

  • 应用经验模式分解 (EMD) 来分析36个驼背的发声样本.
  • 分类HWV样本分为I类 (15个样本),II类 (5个样本) 和III类 (16个样本).
  • 每个类的内在模式函数 (IMFs) 和残余函数 (RF) 与总能量的计算平均能量比.

主要成果:

  • 在所有HWV类别中,关键IMF和RF的平均能量比率超过10%.
  • 针对IMF1的特定能量比率在各种频段中被确定为I类 (例如,9.825%在2980-3725 Hz中),II类 (例如,14.675%在745-1490 Hz中) 和III类 (例如,12.0640%在2980-3725 Hz中).
  • 分析显示,根据HWV类和频率范围,不同IMF的能源贡献很大.

结论:

  • 基于EMD的分析提供了对HWV信号中MS特征的高分辨率理解.
  • 这项研究为包含在HWV边际频谱特征中的信息提供了创新的视角.
  • 这些发现有助于通过声信号分析更深入地了解驼背的通信.