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

Classification of Signals01:30

Classification of Signals

397
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
397
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

62
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
62
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

85
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....
85
Rectangular and Triangular Pulse Function01:19

Rectangular and Triangular Pulse Function

569
The unit rectangular pulse function is mathematically represented by a rectangular function centered at the origin with a height of one unit. This function is defined by two parameters: T, which specifies the center location of the pulse along the time axis, and τ, which determines the pulse duration.
For example, consider a rectangular pulse with a 5V amplitude, a 3-second duration, and centered at t=2 seconds. This pulse can be expressed using the rectangular function, written as,
569
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

171
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...
171
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

905
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...
905

You might also read

Related Articles

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

Sort by
Same author

Early-Life Cumulative Intake of Ultra-Processed Foods and Subcortical Brain Volume at Age Six Years: A Prospective Cohort Study.

The American journal of clinical nutrition·2026
Same author

Germinal Center-Like Tertiary Lymphoid Structures Mark Immune Responsiveness and Enable Checkpoint Immunotherapy in Bladder Cancer.

Oncology research·2026
Same author

Design and Fabrication of PS-PMMA-Based Plastic Scintillators with Bis(pinacolato)diboron Loading for n/γ Pulse-Shape Discrimination.

ACS applied materials & interfaces·2026
Same author

Synergistic Enhancement of Gel Properties in Unwashed Silver Carp Surimi by Hydroxypropyl Starch, Gallic Acid, and Xylitol.

Journal of texture studies·2026
Same author

Ultra-sensitive urine DNA methylation test enables early and accurate detection of bladder cancer.

Epigenomics·2026
Same author

Cost-effectiveness analysis of PET-guided BrECADD with chemotherapy in advanced-stage, classical Hodgkin lymphoma.

Cost effectiveness and resource allocation : C/E·2026
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: Jun 4, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

975

An Optimized SVR Algorithm for Pulse Pile-Up Correction in Pulse Shape Discrimination.

Xianghe Liu1,2, Bingqi Liu2,3, Mingzhe Liu1,2

  • 1The College Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized Support Vector Regression (SVR) algorithm to correct pulse pile-up in radiation detection. The method enhances neutron-gamma pulse shape discrimination accuracy in challenging environments.

Keywords:
pile-up pulsepulse shape discriminationsupport vector regression

More Related Videos

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K
Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
06:20

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

Published on: December 5, 2020

2.3K

Related Experiment Videos

Last Updated: Jun 4, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

975
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K
Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension
06:20

Contrast-Enhanced Subharmonic Aided Pressure Estimation SHAPE Using Ultrasound Imaging with a Focus on Identifying Portal Hypertension

Published on: December 5, 2020

2.3K

Area of Science:

  • Nuclear physics and radiation detection instrumentation.

Background:

  • Pulse pile-up significantly distorts signals in nuclear radiation measurements, hindering accurate neutron-gamma pulse shape discrimination.
  • Existing methods struggle with pulse distortion, leading to reduced identification accuracy in mixed radiation fields.

Purpose of the Study:

  • To develop and validate an optimized Support Vector Regression (SVR) algorithm for effective pulse pile-up correction.
  • To enhance the accuracy and reliability of neutron-gamma pulse shape discrimination in high-interference environments.

Main Methods:

  • An optimized Support Vector Regression (SVR) algorithm was developed, integrating the Dung Beetle Optimizer (DBO) and Whale Optimization Algorithm (WOA).
  • Performance was evaluated using charge comparison methods (CCM) for pulse shape discrimination, with analysis of simulated pulse pile-up characteristics.
  • Experiments were conducted in a mixed neutron-gamma radiation field using plastic scintillators.

Main Results:

  • The proposed DBO-WOA optimized SVR algorithm effectively corrected pulse pile-up, significantly improving neutron-gamma discrimination.
  • The method demonstrated high accuracy in identifying neutron and gamma radiation even with overlapping pulses.
  • Experimental results confirmed enhanced fidelity in pulse shape discrimination and overall system reliability.

Conclusions:

  • The optimized SVR algorithm provides a robust solution for pulse pile-up correction in nuclear radiation detection.
  • This advancement improves the reliability of radiation detection systems operating in complex, high-interference environments.
  • The study highlights the potential for advanced optimization algorithms in nuclear instrumentation for enhanced measurement accuracy.