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Related Concept Videos

Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

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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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Upsampling01:22

Upsampling

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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...
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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.
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Sampling Theorem01:15

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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.
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Reconstruction of Signal using Interpolation01:10

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Bandpass Sampling01:17

Bandpass Sampling

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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.
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Related Experiment Video

Updated: May 1, 2026

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
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Synchronization sampling method based on delta-sigma analog-digital converter for underwater towed array system.

Jia-Jia Jiang1, Fa-Jie Duan1, Yan-Chao Li1

  • 1State Key Lab of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China.

The Review of Scientific Instruments
|April 3, 2014
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Summary
This summary is machine-generated.

A new synchronization sampling method ensures precise data collection in underwater towed arrays. This technique corrects for time delays and clock jitter, improving data accuracy for towed array systems.

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Area of Science:

  • Oceanography
  • Signal Processing
  • Electrical Engineering

Background:

  • Accurate synchronization sampling is critical for underwater towed array systems.
  • Each acquisition node (AN) uses its own analog-digital converter (ADC), necessitating synchronized operations.

Purpose of the Study:

  • To propose a simple and effective synchronization sampling method for underwater towed array systems.
  • To ensure synchronized operation among different ANs.

Main Methods:

  • A master-slave synchronization sampling model was developed.
  • A high-accuracy phase-locked loop was designed to synchronize delta-sigma ADCs to a reference clock.
  • Methods to estimate and compensate for time-delay (TD) and overcome synchronization sampling error (SSE) caused by clock jitter were presented.

Main Results:

  • An experimental system with three ANs was established.
  • Experimental results validated the proposed synchronization sampling method.
  • The method effectively addressed synchronization sampling errors arising from TD and clock jitter.

Conclusions:

  • The proposed synchronization sampling method is effective for underwater towed array systems.
  • The technique ensures synchronized operation among acquisition nodes.
  • This advancement improves the reliability and accuracy of data acquisition in towed array systems.