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相关概念视频

Bandpass Sampling01:17

Bandpass Sampling

183
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
183
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

251
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...
251
Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

37
Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short...
37
Aliasing01:18

Aliasing

136
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...
136
Sampling Theorem01:15

Sampling Theorem

341
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
341
Upsampling01:22

Upsampling

238
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...
238

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高精度时间测量电子设备使用带通采样方法.

Yichun Fan1,2, Lei Zhao1,2, Jiajun Qin1,2

  • 1State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, China.

The Review of scientific instruments
|January 19, 2024
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概括
此摘要是机器生成的。

本研究提出了一种新的带宽采样方法,用于使用较低的采样率进行高精度的时间测量. 开发的系统实现了典型的RMS精度,比0.4皮秒更好,进步了计时电子.

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科学领域:

  • 电气工程 电气工程
  • 信号处理 信号处理
  • 仪器化 仪器化 仪器化

背景情况:

  • 高精度的时间测量在各种科学和工程领域至关重要.
  • 传统方法通常需要非常高的采样率 (每秒千兆样),增加硬件复杂性和成本.
  • 有越来越多的研究兴趣在较低的采样率实现高时刻精度.

研究的目的:

  • 开发一种能够在较低的采样速率 (约100 MSps) 上实现高精度的时间测量系统.
  • 调查带宽采样的应用,以提高计时精度.
  • 设计和实施适用于低采样率系统的实时时间提取算法.

主要方法:

  • 一个模拟前端电路被设计用于带宽过和输入脉冲信号的放大.
  • 开发了一个管道实时时间提取算法,结合了插值和交叉相关技术.
  • 为了高效的交叉相关计算,使用了1024点的快速里叶变换 (FFT).
  • 在一个中程现场可编程网关阵列 (FPGA) 上实现了四个时间测量通道.

主要成果:

  • 该系统成功地实现了高精度的时间测量,采样速率约为100 MSps.
  • 通过FPGA实现,实现了116kHz的测量速率.
  • 计时系统的典型根正方形 (RMS) 精度被证明比0.4皮秒更好.

结论:

  • 带宽采样方法是有效的实现高精度的时间测量在减少的采样率.
  • 开发的实时算法和FPGA实现为高级计时应用提供了实用的解决方案.
  • 实现的分比秒精度为更具成本效益和可访问的高分辨率计时系统开辟了可能性.