Jove
Visualize
Contact Us

Related Concept Videos

Bandpass Sampling01:17

Bandpass Sampling

265
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....
265
IR Spectrum01:19

IR Spectrum

1.3K
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
1.3K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.2K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.2K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

137
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
137
Aliasing01:18

Aliasing

238
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...
238
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

580
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
580

You might also read

Related Articles

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

Sort by
Same author

A distributed geometric rewiring model.

Scientific reports·2024
Same author

Decision-Making Algorithm with Geographic Mobility for Cognitive Radio.

Sensors (Basel, Switzerland)·2024
Same author

Cooperative Multiband Spectrum Sensing Using Radio Environment Maps and Neural Networks.

Sensors (Basel, Switzerland)·2023
Same author

Multiband Spectrum Sensing Based on the Sample Entropy.

Entropy (Basel, Switzerland)·2022
Same author

Directive Multiband Antenna Based on Rectangular Loop Array and Dumbbell-Shaped Slot Radiator.

Sensors (Basel, Switzerland)·2021
Same author

Real-Time Implementation of Multiband Spectrum Sensing Using SDR Technology.

Sensors (Basel, Switzerland)·2021
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
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 Experiment Video

Updated: Sep 18, 2025

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K

Gramian Angular Field and Convolutional Neural Networks for Real-Time Multiband Spectrum Sensing in Cognitive Radio

Yanqueleth Molina-Tenorio1, Alfonso Prieto-Guerrero1, Enrique Rodriguez-Colina1

  • 1Electrical Engineering Department, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Mexico City 09310, Mexico.

Sensors (Basel, Switzerland)
|June 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Gramian angular field images for cooperative spectrum sensing in cognitive radio networks (CRNs). This method, combined with convolutional neural networks (CNNs), achieves 99.6% accuracy in detecting spectrum occupancy.

Keywords:
cognitive radio networksconvolutional neural networksgramian angular fieldmultiband spectrum sensing

More Related Videos

Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
07:25

Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

Published on: August 20, 2020

3.8K
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

27.2K

Related Experiment Videos

Last Updated: Sep 18, 2025

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data
04:13

Computer-based Multitaper Spectrogram Program for Electroencephalographic Data

Published on: November 13, 2019

12.3K
Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis
07:25

Simultaneous Monitoring of Wireless Electrophysiology and Memory Behavioral Test as a Tool to Study Hippocampal Neurogenesis

Published on: August 20, 2020

3.8K
Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks
10:07

Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Published on: December 2, 2015

27.2K

Area of Science:

  • Wireless Communication
  • Signal Processing
  • Machine Learning

Background:

  • Cognitive radio networks (CRNs) require efficient spectrum sensing for dynamic resource management.
  • Traditional spectrum sensing techniques face challenges in complex, real-time environments.

Purpose of the Study:

  • To develop a novel framework for multiband spectrum sensing in cooperative CRNs.
  • To enhance the accuracy and efficiency of detecting primary user activity and spectrum occupancy.

Main Methods:

  • Utilized Gramian angular field (GAF) summation to transform time-series power spectral density data into image representations.
  • Integrated GAF images with a convolutional neural network (CNN) for classification.
  • Employed a cooperative sensing approach with a central entity collecting data from distributed secondary users.

Main Results:

  • Achieved 99.6% accuracy in determining spectrum occupancy.
  • Demonstrated superior performance compared to traditional spectrum sensing techniques.
  • Validated the framework's effectiveness in dynamic, real-time environments.

Conclusions:

  • GAF-based image representations offer a powerful new approach for cooperative spectrum sensing in CRNs.
  • The proposed CNN framework enables precise and real-time detection of spectrum occupancy.
  • This study significantly advances spectrum resource management in CRNs.