Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cascaded Op Amps01:16

Cascaded Op Amps

673
Operational amplifiers (op-amps) are versatile electronic components that can be interconnected in a cascade - one after another in a linear sequence. This cascading is possible due to their infinite input resistance and zero output resistance, allowing them to maintain their input-output relationships even when connected in series.
In a cascaded system, each op-amp is referred to as a stage. The output of one stage drives the input of the subsequent stage. As the input signal passes through...
673
Upsampling01:22

Upsampling

265
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...
265
Design Example: Vintage Mixing Console01:17

Design Example: Vintage Mixing Console

252
A sound engineer at a music company recently encountered a problem. The output from their newly acquired studio's vintage mixing console was too low for the requirements of modern recording equipment. To rectify this situation, the engineer decided to design an audio pre-amplifier using an operational amplifier (op-amp) to boost the signal level.
The specifications for the pre-amplifier were clear. It needed to amplify the audio signal by a factor of 10, have an input impedance above 10...
252
Downsampling01:20

Downsampling

190
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...
190
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

281
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...
281
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

245
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...
245

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Design and Implementation of a YOLOv2 Accelerator on a Zynq-7000 FPGA.

Sensors (Basel, Switzerland)·2025
Same author

Automated Laser-Fiber Coupling Module for Optical-Resolution Photoacoustic Microscopy.

Sensors (Basel, Switzerland)·2023
Same author

Improved Likelihood Probability in MIMO Systems Using One-Bit ADCs.

Sensors (Basel, Switzerland)·2023
Same author

Reinforcement Learning-Aided Channel Estimator in Time-Varying MIMO Systems.

Sensors (Basel, Switzerland)·2023
Same author

Cooperative DF Protocol for MIMO Systems Using One-Bit ADCs.

Sensors (Basel, Switzerland)·2022
Same author

Spherical-Cap Approximation of Vector Quantization for Quantization-Based Combining in MIMO Broadcast Channels with Limited Feedback.

Sensors (Basel, Switzerland)·2022
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jul 23, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K

Non-Orthogonal Multiple Access with One-Bit Analog-to-Digital Converters Using Threshold Adaptation.

Moonsik Min1,2, Jae-Ik Kong2, Tae-Kyoung Kim3

  • 1School of Electronics Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel interference cancellation technique for one-bit analog-to-digital converters (ADCs) in digital communication systems. The proposed method enhances the capacity of Gaussian multiple access channels (MACs) by enabling analog-domain interference management.

Keywords:
interference cancellationmultiple access channelone-bit analog-to-digital converterpower allocationsuccessive detection

More Related Videos

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation
08:24

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation

Published on: August 16, 2021

6.0K

Related Experiment Videos

Last Updated: Jul 23, 2025

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.3K
Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

6.2K
Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation
08:24

Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation

Published on: August 16, 2021

6.0K

Area of Science:

  • Digital Communications
  • Signal Processing
  • Information Theory

Background:

  • High-resolution analog-to-digital converters (ADCs) enable successive interference cancellation for enhanced Gaussian multiple access channel (MAC) capacity.
  • One-bit ADCs present significant challenges for digital interference cancellation due to severe signal distortion, limiting MAC capacity gains.

Purpose of the Study:

  • To develop an efficient successive interference cancellation and detection scheme for one-bit quantized channels.
  • To demonstrate that one-bit channel capacity can be equivalent to interference-free capacity under specific conditions.

Main Methods:

  • Proposing an analog-domain interference cancellation approach for one-bit ADCs.
  • Analyzing achievable rates by deriving mutual information at each detection stage.
  • Developing an optimal transmit power allocation algorithm for fading channels.

Main Results:

  • The proposed scheme achieves a sum rate generally outperforming conventional methods.
  • An achievable upper bound for the sum rate is demonstrated to be twice that of conventional methods.
  • The optimal power allocation algorithm maximizes sum rate in fading channels.

Conclusions:

  • The study presents a viable method for interference cancellation in one-bit quantized systems, overcoming limitations of digital processing.
  • The proposed scheme offers significant capacity enhancements for Gaussian MACs with one-bit ADCs.
  • Analog-domain interference management is shown to be effective for improving communication system performance.