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

Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

434
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....
434
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

422
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
422
Aliasing01:18

Aliasing

812
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...
812
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

423
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,...
423
Upsampling01:22

Upsampling

707
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...
707
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

2.3K
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...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Adaptive Hierarchical Evidence Fusion for Sensitive Field Detection in Structured Data: A Gated Residual Correction Network.

Entropy (Basel, Switzerland)·2026
Same author

A Novel Strategy for Oxidative Damage: Lycopene Nanoformulations Improve Redox Homeostasis and Gut Microbiota Composition in Mice.

Journal of food science·2026
Same author

Genome-wide association and multi-omics functional screens reveal the genetic architecture of foveal development.

medRxiv : the preprint server for health sciences·2026
Same author

Structural basis of sex pheromone detection in aphids.

Cell research·2026
Same author

SRP-Net: sensitive risk propagation network with asymmetric cross-attention for educational data.

Scientific reports·2026
Same author

Understanding the key correlates of post-crash clinical indicators and outcomes in road traffic crashes.

Injury·2026
Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026
Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026
Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026
Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026
Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026
Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Apr 5, 2026

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

9.9K

Dynamic Digital Channelizer Based on Spectrum Sensing.

Junpeng Hu1, Zhen Zuo1, Zhiping Huang1

  • 1School of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China.

Plos One
|August 27, 2015
PubMed
Summary
This summary is machine-generated.

This study presents a novel dynamic digital channelizer for software defined radio (SDR) systems. The design efficiently separates signals using a cosine modulated filter bank and optimized spectrum sensing for dynamic sub-channel bandwidths.

More Related Videos

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.6K
Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

23.1K

Related Experiment Videos

Last Updated: Apr 5, 2026

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

9.9K
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.6K
Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

23.1K

Area of Science:

  • Electrical Engineering
  • Signal Processing

Background:

  • Software Defined Radio (SDR) systems require efficient signal channelization with dynamic sub-channel bandwidths.
  • Digital channelizers are crucial components for splitting received signals into sub-channels within SDR systems.

Purpose of the Study:

  • To design a dynamic digital channelizer for SDR systems.
  • To introduce a novel method for signal separation with adaptable sub-channel bandwidths.

Main Methods:

  • Utilized a cosine modulated filter bank (CMFB) to divide signals into frequency sub-bands.
  • Incorporated a spectrum sensing technique based on covariance matrix eigenvalues for sub-band signal detection.
  • Developed an optimized method to calculate the max-min eigenvalue ratio, mitigating noise fluctuation vulnerability.

Main Results:

  • The proposed digital channelizer effectively separates received signals.
  • Dynamically changeable sub-channel signals are successfully isolated.
  • The optimized eigenvalue ratio calculation enhances robustness against noise.

Conclusions:

  • The presented dynamic digital channelizer design meets the requirements of SDR systems.
  • The integration of CMFB and optimized spectrum sensing offers an effective solution for dynamic signal channelization.
  • This approach enables efficient management of signals with varying sub-channel bandwidths.