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相关概念视频

Upsampling01:22

Upsampling

568
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
568
Aliasing01:18

Aliasing

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Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
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Downsampling01:20

Downsampling

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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

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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...
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Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

655
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
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Pulse amplitude and quality01:17

Pulse amplitude and quality

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Pulse amplitude is a crucial indicator of cardiac health because it provides valuable insights into the strength of left ventricular contractions and the overall uniformity of blood circulation within the vasculature. The strength of the pulse is directly related to the force with which the heart contracts and the volume of blood being pumped.
A weak or absent pulse may indicate reduced cardiac output or poor left ventricular contraction, which can be signs of cardiovascular dysfunction or...
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相关实验视频

Updated: Jan 8, 2026

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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针对分布式声学传感系统的ANS编码的高比数据压缩.

Jiayao Sun, Deyu Xu, Jingming Zhang

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    此摘要是机器生成的。

    这项研究引入了分布式声学传感 (DAS) 数据的新压缩方法,显著减少原始信号体积,同时保留关键细节. 这一进步使得地震检测和管道安全等应用更有效地进行大规模的振动监测.

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    Last Updated: Jan 8, 2026

    Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
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    Published on: March 13, 2017

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    Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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    科学领域:

    • 地质物理学和传感器技术
    • 信号处理和数据压缩

    背景情况:

    • 使用相位敏感的光学时域反射计 (φ-OTDR) 的分布式声学传感 (DAS) 提供了大规模的振动监测能力.
    • 持续DAS监控产生的大量数据量带来了重要的传输,存储和处理挑战.
    • 对于DAS数据的现有压缩方法通常会降低信号保真度,并且无法保存关键阶段和低频信息.

    研究的目的:

    • 为原始DAS信号开发一种新的压缩方法,克服现有技术的局限性.
    • 为了提高大规模DAS监控的压缩效率和信号保真度.
    • 为了确保在压缩的DAS数据中保留相位特征和低频细节.

    主要方法:

    • 使用不对称的数字系统 (ANS) 实现编码方法.
    • 直接压缩最初获得的DAS信号,绕过调制.
    • 通过各种条件下的实验结果进行验证,包括低频信号和实际的工程场景.

    主要成果:

    • 实现了最大压缩比为76.9,皮尔森相关系数 (PCC) ≥0.95.
    • 保持了0.1赫兹信号的压缩比为73,时间域SNR为76.44dB,重建延迟低 (0.187秒).
    • 在各种建筑干扰事件中证明了高的平均压缩比率 (高达74.23) 和信号噪声比率 (SNR).

    结论:

    • 拟议的基于ANS的编码方法有效地压缩原始DAS信号,而不牺牲空间分辨率或关键信号特征.
    • 这种方法克服了模调信号压缩的局限性,保留了相位信息和低频特征.
    • 该方法为复杂环境中大规模的长期DAS监控提供了高效和强大的解决方案.