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Related Concept Videos

Upsampling01:22

Upsampling

537
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...
537
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

608
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...
608
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

632
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...
632
Clipper Circuit01:18

Clipper Circuit

789
A clipper circuit is a fundamental wave-shaping device that harnesses the unique properties of diodes to alter and control waveform characteristics. This technology is widely used in electronic devices, especially in television and radar communication systems, where it enhances waveform modulation in both transmitters and receivers.
The operation of a clipper circuit can be exemplified by analyzing a dual-clipper configuration setup that integrates two ideal diodes, each paired with a biasing...
789
Downsampling01:20

Downsampling

533
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...
533
Aliasing01:18

Aliasing

477
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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Related Experiment Video

Updated: Dec 26, 2025

High-precision Electromagnetic Flowmeter with Empty Pipe Detection via Complex Programmable Logic Device-based Waveform Recognition
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Digital Circuit for Seamless Resampling ADC Output Streams.

Mauro D'Arco1, Ettore Napoli1, Efstratios Zacharelos1

  • 1Department Electrical and Information Technologies Engineering (DIETI), University of Naples Federico II, via Claudio 21, 80125 Naples, Italy.

Sensors (Basel, Switzerland)
|March 19, 2020
PubMed
Summary

Digital storage oscilloscopes (DSOs) lack fine sample rate control, necessitating offline processing. This study introduces a digital circuit for real-time, high-resolution sample rate adjustment within DSOs.

Keywords:
ASICFPGAdigital circuit designinterpolating polynomialpolyphase filterresampling

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Area of Science:

  • Electrical Engineering
  • Digital Signal Processing
  • Instrumentation

Background:

  • Digital storage oscilloscopes (DSOs) typically offer limited control over sample rates, requiring users to perform offline processing for fine adjustments.
  • This limitation hinders real-time analysis and efficient data acquisition.

Purpose of the Study:

  • To address the lack of fine resolution sample rate selection in DSOs.
  • To propose and evaluate a novel digital circuit for dynamic sample rate adjustment during data acquisition.

Main Methods:

  • The study reviews digital signal processing (DSP) techniques for digital resampling.
  • A new digital circuit is proposed, integrating between the analog-to-digital converter (ADC) and memory in DSOs.
  • The circuit employs a short digital filter with dynamic coefficients and a memory management strategy.

Main Results:

  • The proposed circuit enables selection of any sampling rate below the maximum with fine resolution.
  • The output sample rate can be asynchronous to the memory clock frequency.
  • Both Field Programmable Gate Array (FPGA) and Application-Specific Integrated Circuit (ASIC) implementations were assessed.

Conclusions:

  • The developed digital circuit significantly enhances the flexibility of DSOs by allowing real-time, fine-resolution sample rate control.
  • This innovation reduces the need for post-acquisition processing, streamlining waveform analysis.